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<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>Five or more years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Mindrift is looking for highly skilled senior python data scraping engineers to join the tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</h4> <p>In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle javascript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a highly skilled L2 Oracle KVM Virtualization Engineer with strong hands-on experience in Oracle Linux KVM and libvirt within enterprise production environments.<br> The role will be responsible for managing KVM hypervisors, virtual machines, HA configurations, live migration, storage and network integration, performance optimization, patching, backup/DR, and production incident management .<br> The ideal candidate should have strong troubleshooting skills and experience supporting mission-critical infrastructure in 24x7 production and DR environments .<br> Key Responsibilities Install, configure, administer, and maintain Oracle Linux KVM hypervisors .<br> Manage the complete VM lifecycle , including provisioning, configuration, migration, and decommissioning.<br> Configure and support High Availability (HA) and live migration .<br> Manage storage integration with KVM hosts, including iSCSI, NFS, SAN, and FC .<br> Configure and troubleshoot virtual networking, including VLANs, bridges, and bonding .<br> Monitor virtualization platform health, performance, capacity, and availability.<br> Perform CPU, memory, and disk I/O performance tuning .<br> Apply hypervisor patches, Linux kernel updates, and security hardening.<br> Manage VM backup and restore activities in coordination with backup teams.<br> Support DR environments and VM replication strategies.<br> Troubleshoot host failures, VM crashes, resource contention, and virtualization performance issues.<br> Perform Root Cause Analysis (RCA) for production incidents.<br> Support infrastructure upgrades, migrations, and technology refresh activities.<br> Coordinate with Linux/OS, Storage, Network, Backup, and Cloud teams .<br> Maintain technical documentation and operational procedures.<br> Follow ITIL-based Incident, Problem, and Change Management processes.<br> Provide L2 support within a 24x7 managed services environment 8–12 years of experience in virtualization and Linux administration.<br> Strong hands-on experience with Oracle Linux KVM .<br> Strong knowledge of KVM and libvirt .<br> Experience managing enterprise production virtualization environments .<br> Hands-on experience with HA and live migration .<br> Strong knowledge of Oracle Linux / RHEL .<br> Experience supporting Production and DR environments .<br> Strong understanding of virtualization architecture and resource allocation.<br> Hands-on experience with: iSCSI NFS SAN Fibre Channel (FC) Strong understanding of virtual networking: VLAN Linux Bridges Bonding Experience with virtualization performance tuning and troubleshooting.<br> Experience with patching, upgrades, security hardening, and vulnerability remediation .<br> Basic scripting knowledge using Shell and/or Python .<br> Strong troubleshooting, analytical, and incident-management skills.<br> Familiarity with ITIL Incident, Problem, and Change Management .<br></span> </div>

<p><h4>Role overview</h4> <p>We are seeking a highly skilled senior AI infrastructure and platform engineer to join our client’s team in Riyadh. In this role, you’ll be responsible for building, managing, and optimizing scalable AI infrastructure and compute environments that support high-performance workloads, including GPU-accelerated AI/ML pipelines, cluster scheduling, and orchestration.</p> <h4>Key responsibilities</h4> <ul> <li>Deploy, maintain, and optimize GPU-based compute clusters and infrastructure.</li> <li>Manage and operate GPU orchestration tools and platforms such as: <ul> <li>Nvidia Base Command Manager (critical)</li> <li>Nvidia AI Enterprise Suite</li> <li>Nvidia GPU and Network Operators</li> <li>Nvidia NIMs and Blueprints</li> </ul> </li> <li>Configure, deploy, and maintain compute workloads using scheduling and orchestration tools including: <ul> <li>Slurm (critical)</li> <li>Vanilla Kubernetes</li> </ul> </li> <li>Install, configure, and maintain the underlying OS (e.g. Canonical Ubuntu) and supporting system software.</li> <li>Monitor and troubleshoot infrastructure performance, availability, and reliability; ensure high uptime for AI/ML workloads.</li> <li>Work with data scientists, ML engineers, and development teams to define infrastructure requirements, resource allocation, and deployment workflows.</li> <li>Develop automation scripts, CI/CD pipelines, and best practices for infrastructure provisioning and management.</li> <li>Document architecture, configurations, and operational procedures; enforce security, compliance, and backup policies.</li> </ul> <h4>Requirements</h4> <h5>Required skills & experience</h5> <ul> <li>Proven experience managing GPU-based AI/ML infrastructure and compute clusters.</li> <li>Hands-on experience with: <ul> <li>Nvidia Base Command Manager</li> <li>Nvidia AI Enterprise Suite</li> <li>Nvidia GPU/Network Operators, NIMs, Blueprints</li> </ul> </li> <li>Strong experience with Slurm and/or Kubernetes orchestration.</li> <li>Solid Linux system administration skills — preferably on Ubuntu or similar distributions.</li> <li>Strong scripting/automation ability (e.g. Bash, Python, or relevant tooling) for provisioning, deployment, and maintenance.</li> <li>Excellent troubleshooting and performance-tuning skills.</li> <li>Experience collaborating with ML/data science teams and integrating infrastructure with their workflows.</li> <li>Strong understanding of networking, security, resource allocation, and cluster management best practices.</li> </ul> <h5>Preferred qualifications</h5> <ul> <li>Previous experience working in a high-performance computing (HPC) or AI-focused infrastructure team.</li> <li>Knowledge of containerization, container orchestration, and GPUs in cloud or on-prem environments.</li> <li>Experience with CI/CD, infrastructure-as-code (e.g. Terraform, Ansible), monitoring tools, and logging setups.</li> <li>Familiarity with workload scheduling, job queuing, resource quotas, and GPU-shared environments.</li> </ul></p><p></p>

<p>We are seeking an experienced Technical Architect to lead the design and implementation of technology solutions that support business objectives and align with enterprise architecture standards. The ideal candidate will combine strong technical expertise with strategic thinking to deliver scalable, secure, and high-performing solutions while providing technical leadership across projects. Key Responsibilities Design end-to-end technical architectures for enterprise systems, applications, and integrations. Develop architecture blueprints, technical specifications, and solution design documentation. Evaluate, recommend, and select appropriate technologies, frameworks, platforms, and tools based on business and technical requirements. Provide technical leadership and guidance to development teams throughout the software development lifecycle. Ensure solutions are scalable, secure, maintainable, and aligned with industry best practices and organizational standards. Conduct architecture and code reviews to ensure compliance with technical standards and quality requirements. Collaborate with business analysts, project managers, product owners, and key stakeholders to translate business requirements into effective technical solutions. Identify technical risks, dependencies, and constraints, and develop mitigation strategies. Design and oversee system integration approaches to ensure seamless interoperability between applications and platforms. Stay up to date with emerging technologies, industry trends, and architectural best practices to drive innovation. Mentor and support junior architects, developers, and technical team members by promoting knowledge sharing and continuous improvement.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. Proven experience in solution or technical architecture, software design, and enterprise application development. Strong understanding of cloud platforms, system integration, APIs, microservices, and enterprise architecture principles. Experience with modern development frameworks, databases, and DevOps practices. Excellent analytical, problem-solving, and communication skills. Ability to collaborate effectively with cross-functional teams and influence technical decisions. Relevant architecture or cloud certifications are considered an advantage.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Key Responsibilities • Provision and administer approved cloud resources, platform services and access configurations.<br> • Monitor workloads, performance, availability and utilisation and respond to operational events.<br> • Apply approved security baselines, identity controls, tagging, logging and configuration standards.<br> • Support hybrid connectivity and dependencies with on-premises infrastructure, networks and applications .<br> • Provide cost, utilisation and optimisation analysis; implementation remains subject.<br> . • Maintain cloud inventories, diagrams, procedures, configuration records and recovery documentation.<br> • Support incident, problem and change management and contribute to root-cause analysis.<br> • Assist with TDRA-hosted or other approved environments once the target model and access are confirmed.<br> Minimum Experience and Qualifications • Minimum 5 years of relevant cloud engineering and administration experience.<br> • Strong practical experience with Microsoft Azure and/or AWS in enterprise environments.<br> • Knowledge of cloud networking, identity, monitoring, security configuration, backup and cost management.<br> • Azure Administrator/Architect or AWS Solutions Architect certification preferred.<br> • Experience working through controlled privileged-access and change-management procedures.<br></span> </div>

<p><h4>Job summary</h4> <p>Assists department head in managing budget, capital expenditures, preventative maintenance and energy conservation. Accountable for maintaining the building and grounds with particular attention towards safety, security and asset protection. Assigns, tracks and follows up on status of work assigned to staff and contractors. Helps to increase guest and employee satisfaction through effective communications and training.</p> <h4>Candidate profile</h4> <p><strong>Education and experience</strong></p> <ul> <li>High school diploma or GED; 4 years experience in the engineering and maintenance or related professional area; technical training in HVAC-R/electrical/plumbing.</li> <li>OR</li> <li>2-year degree from an accredited university in Building and Construction, Engineering, Mechanics, or related major; 2 years experience in the engineering and maintenance or related professional area; technical training in HVAC-R/electrical/plumbing.</li> </ul> <h4>Core work activities</h4> <p><strong>Supporting management of property operations</strong></p> <ul> <li>Supervises distribution of repair work orders.</li> <li>Ensures property policies are administered fairly and consistently.</li> <li>Assists in effectively planning, scheduling and evaluating preventative maintenance programs.</li> <li>Establishes and maintains open, collaborative relationships with employees.</li> <li>Monitors timeliness and quality of completion of repair work orders.</li> <li>Supervises engineering and related areas in absence of the Director of Engineering.</li> <li>Assists in managing the physical plant including equipment, refrigeration, HVAC, plumbing, water treatment, electrical and life safety systems.</li> <li>Ensures that regular ongoing communication occurs with employees in order to create awareness of business objectives, communicate expectations and recognize performance.</li> <li>Recommends or arranges for additional services such as painting, repair work, renovations, and the replacement of furnishings and equipment.</li> <li>Selects and orders or purchases new equipment, supplies, and furnishings.</li> <li>Supervises the day-to-day operations of engineering and related departments.</li> </ul> <p><strong>Maintaining property standards</strong></p> <ul> <li>Inspects and evaluates the physical condition of facilities in order to determine the type of work required.</li> <li>Maintains accurate logs and records as required.</li> <li>Operates generators and fire pumps as necessary.</li> <li>Provides emergency response services 24/7.</li> <li>Repairs equipment (e.g., refrigeration, laundry) as necessary.</li> <li>Ensures all employees have the proper supplies, equipment and uniforms.</li> </ul> <p><strong>Ensuring exceptional customer service</strong></p> <ul> <li>Empowers employees to provide excellent customer service.</li> <li>Emphasizes guest satisfaction during all departmental meetings and focuses on continuous improvement.</li> <li>Sets a positive example for guest relations.</li> </ul> <p><strong>Conducting human resources activities</strong></p> <ul> <li>Helps train employees in safety procedures.</li> <li>Supports a departmental orientation program for employees to receive the appropriate new hire training to successfully perform their job.</li> <li>Communicates performance expectations in accordance with job descriptions for each position.</li> <li>Ensures disciplinary procedures and documentation are completed according to standard and local operating procedures (SOPs and LSOPs) and support the peer review process.</li> <li>Assists as needed in the interviewing and hiring of employee team members with the appropriate skills.</li> <li>Participates in the employee performance appraisal process, providing feedback as needed.</li> <li>Uses all available on-the-job training tools for employees.</li> <li>Solicits employee feedback.</li> <li>Supervises staffing levels to ensure that guest service, operational needs and financial objectives are met.</li> </ul> <p>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.</p> <p>The Luxury Collection Hotels & Resorts, with over 120 properties in more than 35 countries, offers the promise of authentic experiences that evoke lasting, treasured memories. Our more than 100 years of experience, beginning in 1906 under the Italian CIGA brand – a collection of Europe's most celebrated and iconic properties – serves as a solid foundation as we continuously evolve to exceed the desires of the luxury traveler.</p> <p>From legendary palaces and remote retreats to timeless modern classics, each luxury hotel and resort is a unique and cherished expression of its locale – a portal to the destination’s cultural charms and treasures. If you are someone with an appreciation for evocative storytelling, a keen interest and passion for this destination's heritage, and a desire to deliver genuine, personalized, and anticipatory hospitality, then we invite you on our journey. In joining The Luxury Collection, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role</p><p>EY's AI Hub is looking for an experienced Automation QA Engineer to ensure the quality, reliability, and performance of our applications, including AI-powered products built on modern web stacks. You'll design and maintain automated test suites for applications built with Next.js and Python, with a strong focus on cross-browser testing and CI/CD integration.</p><p>What You'll Do</p><ul><li>Design, build, and maintain automated test frameworks and suites for web applications (Next.js frontend, Python backend/services)</li><li>Develop and execute cross-browser automated test scripts to ensure consistent functionality across Chrome, Firefox, Safari, and Edge</li><li>Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, or similar) to enable continuous testing and fast feedback loops</li><li>Collaborate with developers, product managers, and other QA engineers to define test strategies and acceptance criteria</li><li>Identify, document, and track bugs through to resolution, working closely with engineering teams</li><li>Perform functional, regression, integration, and end-to-end testing</li><li>Continuously improve test coverage, automation efficiency, and overall QA processes</li><li>Contribute to test planning for AI-driven features and help define quality benchmarks for AI model outputs where applicable</li><li>Monitor and maintain test environments and test data</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>4 – 8 years of experience in automation QA / SDET roles</li><li>Strong hands-on experience testing web applications, ideally with Next.js/React-based frontends</li><li>Proficiency in Python for writing test automation scripts and frameworks</li><li>Solid experience with cross-browser testing tools and strategies</li><li>Experience integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, or similar)</li><li>Strong understanding of QA methodologies: functional, regression, integration, and end-to-end testing</li><li>Familiarity with version control systems (Git)</li><li>Strong analytical and debugging skills, with attention to detail</li><li>Good communication skills and ability to work closely with cross-functional teams</li><li>Nice to Have: Experience working on AI/ML-powered projects or products (e.g., testing AI model outputs, chatbots, LLM-based features)</li><li>Familiarity with API testing tools (Postman, REST Assured, etc.)</li><li>Experience with performance or load testing</li><li>Exposure to cloud platforms (AWS, Azure, or GCP)</li></ul><p></p></section>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Mechanical Engineering or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+);</li> <li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Are you ready to take the lead in driving technical excellence? Optimiza is looking for a dynamic and engaging technical team leader to inspire and guide our talented team of engineers and developers. As the technical team leader, you will play a pivotal role in shaping project success, fostering collaboration, and delivering cutting-edge solutions that exceed client expectations.</p> <h4>Key responsibilities:</h4> <ul> <li>Lead, mentor, and motivate a team of technical professionals to achieve project goals with a passion for quality and innovation.</li> <li>Plan, coordinate, and oversee technical project deliverables while ensuring timely and successful completion.</li> <li>Collaborate closely with stakeholders, project managers, and cross-functional teams to align technical efforts with business objectives.</li> <li>Drive continuous improvement by encouraging knowledge sharing, adopting best practices, and promoting a culture of learning.</li> <li>Identify risks and challenges early and implement effective solutions to keep projects on track.</li> <li>Communicate complex technical concepts clearly and engagingly to both technical team members and non-technical stakeholders.</li> <li>Stay ahead of the curve by keeping up with the latest technology trends and integrating relevant advancements into team practices.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, engineering, or related field.</li> <li>Years of experience: 6+ years</li> <li>Technical knowledge: system administration, good knowledge in Windows, Linux, and networking (infrastructure support background)</li> <li>Good troubleshooting skills including networking and system administration.</li> <li>Customer support job experience.</li> </ul> <h4>Preferred skills</h4> <ul> <li>API traffic flow knowledge</li> <li>Database</li> <li>Active Directory and group policy</li> </ul> <h4>Benefits</h4> <ul> <li>Annual bonus</li> <li>Class A health insurance</li> <li>Training and development</li> <li>Performance bonus</li> </ul></p><p></p>

<p><h4>Job summary</h4> <p>Assists department head in managing budget, capital expenditures, preventative maintenance and energy conservation. Accountable for maintaining the building and grounds with particular attention towards safety, security and asset protection. Assigns, tracks and follows up on status of work assigned to staff and contractors. Helps to increase guest and employee satisfaction through effective communications and training.</p> <h4>Candidate profile</h4> <p><strong>Education and experience</strong></p> <ul> <li>High school diploma or GED; 4 years experience in the engineering and maintenance or related professional area; technical training in HVAC-R/electrical/plumbing.</li> <li>OR</li> <li>2-year degree from an accredited university in Building and Construction, Engineering, Mechanics, or related major; 2 years experience in the engineering and maintenance or related professional area; technical training in HVAC-R/electrical/plumbing.</li> </ul> <h4>Core work activities</h4> <p><strong>Supporting management of property operations</strong></p> <ul> <li>Supervises distribution of repair work orders.</li> <li>Ensures property policies are administered fairly and consistently.</li> <li>Assists in effectively planning, scheduling and evaluating preventative maintenance programs.</li> <li>Establishes and maintains open, collaborative relationships with employees.</li> <li>Monitors timeliness and quality of completion of repair work orders.</li> <li>Supervises Engineering and related areas in absence of the Director of Engineering.</li> <li>Assists in managing the physical plant including equipment, refrigeration, HVAC, plumbing, water treatment, electrical and life safety systems.</li> <li>Ensures that regular ongoing communication occurs with employees in order to create awareness of business objectives, communicate expectations and recognize performance.</li> <li>Recommends or arranges for additional services such as painting, repair work, renovations, and the replacement of furnishings and equipment.</li> <li>Selects and orders or purchases new equipment, supplies, and furnishings.</li> <li>Supervises the day to day operations of Engineering and related departments.</li> </ul> <p><strong>Maintaining property standards</strong></p> <ul> <li>Inspects and evaluates the physical condition of facilities in order to determine the type of work required.</li> <li>Maintains accurate logs and records as required.</li> <li>Operates generators and fire pumps as necessary.</li> <li>Provides emergency response services 24/7.</li> <li>Repairs equipment (e.g., refrigeration, laundry) as necessary.</li> <li>Ensures all employees have the proper supplies, equipment and uniforms.</li> </ul> <p><strong>Ensuring exceptional customer service</strong></p> <ul> <li>Empowers employees to provide excellent customer service.</li> <li>Emphasizes guest satisfaction during all departmental meetings and focuses on continuous improvement.</li> <li>Sets a positive example for guest relations.</li> </ul> <p><strong>Conducting human resources activities</strong></p> <ul> <li>Helps train employees in safety procedures.</li> <li>Supports a departmental orientation program for employees to receive the appropriate new hire training to successfully perform their job.</li> <li>Communicates performance expectations in accordance with job descriptions for each position.</li> <li>Ensures disciplinary procedures and documentation are completed according to Standard and Local Operating Procedures (SOPs and LSOPs) and support the Peer Review Process.</li> <li>Assists as needed in the interviewing and hiring of employee team members with the appropriate skills.</li> <li>Participates in the employee performance appraisal process, providing feedback as needed.</li> <li>Uses all available on the job training tools for employees.</li> <li>Solicits employee feedback.</li> <li>Supervises staffing levels to ensure that guest service, operational needs and financial objectives are met.</li> </ul> <p>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.</p> <p>At Westin, we are committed to empowering guests to regain control and enhance their well-being when they need it most while traveling, ensuring they can be the best version of themselves. To achieve the brand mission of becoming the preeminent wellness brand in hospitality, we need passionate and engaged associates to bring the brand’s unique programming to life. We want our associates to embrace their own well-being practices both on and off property. You are the ideal Westin candidate if you are passionate; you are active and take pride in how you maintain your well-being; you are optimistic; you are adventurous. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A leading global pharmaceutical company is seeking an AI Solutions Architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company.<br> Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy.<br> The AI Solutions Architect works closely with AI Engineers, IT Business Partners, AI Champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI Proof of Value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.<br> Responsibilities: 1.<br> Strategy &amp; Architecture Leadership Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments Collaborate with the Architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware 2.<br> AI Solution Design &amp; Technical Oversight Architect end-to-end AI solutions across the company's key business domains including Manufacturing, Quality &amp; Regulatory Affairs, R&amp;D, Commercial, Supply Chain, HR, and Finance Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability Guide AI Developers in translating architecture designs into well-structured, maintainable, and production-ready solutions Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows 3.<br> Platform Engineering &amp; Infrastructure Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data &amp; Analytics team Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable 4.<br> Governance, Compliance &amp; Responsible AI Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository Coordinate with IT Security, Data Privacy, Legal, Quality Assurance, and Regulatory Affairs to ensure AI solutions meet all applicable oversight requirements Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning 5.<br> Technical Leadership &amp; Enablement Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI Developer team Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments Represent the company's AI technical standards in cross-functional project delivery teams and steering committees 6.<br> Stakeholder Engagement &amp; Communication Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges Collaborate with IT Business Partners and AI Champions to provide technical feasibility input into AI opportunity assessments Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related technical field Master's degree in Artificial Intelligence, Data Science, Computer Science, or related discipline is preferred Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred TOGAF or equivalent enterprise architecture certification is preferred 7–10 years of professional experience in IT, software engineering, data &amp; analytics, or AI/ML implementation 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred Skills: Technical Competencies: AI/ML Architecture &amp; Solution Design - Cloud Platform Architecture (Azure / AWS / GCP) - ML Ops &amp; Model Lifecycle Management - Enterprise Integration &amp; API Design - Data Architecture &amp; Data Engineering - AI Governance, Ethics &amp; Responsible AI - Pharmaceutical Regulatory Compliance (GxP, FDA, EMA) AI &amp; Technology Skills: Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design Strong hands-on proficiency with Azure AI Services, Azure Machine Learning, MLflow, or equivalent MLOps tooling Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (Preferred) Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment</span> </div>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking an AI solutions architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI solutions architect works closely with AI engineers, IT business partners, AI champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI proof of value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p> <h4>Responsibilities:</h4> <ol> <li><strong>Strategy & architecture leadership</strong><br> Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments.<br> Collaborate with the architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles.<br> Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders.<br> Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles.<br> Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware.</li> <li><strong>AI solution design & technical oversight</strong><br> Architect end-to-end AI solutions across the company's key business domains including manufacturing, quality & regulatory affairs, R&D, commercial, supply chain, HR, and finance.<br> Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints.<br> Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance.<br> Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability.<br> Guide AI developers in translating architecture designs into well-structured, maintainable, and production-ready solutions.<br> Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows.</li> <li><strong>Platform engineering & infrastructure</strong><br> Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling.<br> Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards.<br> Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers.<br> Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data & Analytics team.<br> Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable.</li> <li><strong>Governance, compliance & responsible AI</strong><br> Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes.<br> Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns.<br> Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository.<br> Coordinate with IT security, data privacy, legal, quality assurance, and regulatory affairs to ensure AI solutions meet all applicable oversight requirements.<br> Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning.</li> <li><strong>Technical leadership & enablement</strong><br> Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI developer team.<br> Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team.<br> Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality.<br> Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments.<br> Represent the company's AI technical standards in cross-functional project delivery teams and steering committees.</li> <li><strong>Stakeholder engagement & communication</strong><br> Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences.<br> Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges.<br> Collaborate with IT business partners and AI champions to provide technical feasibility input into AI opportunity assessments.<br> Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation.</li> </ol> <h4>Requirements</h4> <p>Bachelor's degree in computer science, information technology, software engineering, data science, or related technical field.<br> Master's degree in artificial intelligence, data science, computer science, or related discipline is preferred.<br> Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred.<br> TOGAF or equivalent enterprise architecture certification is preferred.<br> 7–10 years of professional experience in IT, software engineering, data & analytics, or AI/ML implementation.<br> 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment.<br> Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment.<br> Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred.<br> Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred.<br> Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> AI/ML architecture & solution design - cloud platform architecture (Azure / AWS / GCP) - ML ops & model lifecycle management - enterprise integration & API design - data architecture & data engineering - AI governance, ethics & responsible AI - pharmaceutical regulatory compliance (GxP, FDA, EMA)</p> <p><strong>AI & technology skills:</strong><br> Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design.<br> Strong hands-on proficiency with Azure AI services, Azure Machine Learning, MLflow, or equivalent MLOps tooling.<br> Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns.<br> Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms.<br> Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines.<br> Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases.<br> Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (preferred).<br> Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment.</p></p><p></p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary Muller's Solutions is seeking an experienced Aconex Solution Architect (Technical Lead) to lead the architecture, implementation, deployment, and optimization of Oracle Aconex solutions.<br> The successful candidate will be responsible for designing scalable solutions, leading technical delivery, configuring the Aconex platform, and ensuring successful implementation throughout the project lifecycle.<br> This role requires a strong blend of solution architecture, technical leadership, stakeholder engagement, and hands-on Oracle Aconex expertise.<br> Key Responsibilities Lead the end-to-end implementation and deployment of Oracle Aconex solutions.<br> Design scalable Aconex solution architectures based on business and project requirements.<br> Gather and analyze business and technical requirements and translate them into solution designs.<br> Configure Oracle Aconex projects, document structures, workflows, forms, correspondence, user roles, permissions, and security settings.<br> Develop implementation strategies, deployment plans, and solution roadmaps.<br> Lead technical workshops and provide expert guidance to business and project stakeholders.<br> Design and oversee integrations between Oracle Aconex and enterprise applications using available APIs and integration methods.<br> Plan and execute document and data migration activities from legacy systems to Oracle Aconex.<br> Lead system configuration, testing (SIT/UAT), go-live activities, and post-implementation support.<br> Ensure compliance with document control standards, governance policies, and industry best practices.<br> Troubleshoot complex technical issues and recommend effective solutions.<br> Prepare solution architecture documents, technical specifications, deployment guides, and implementation documentation.<br> Provide technical leadership, mentoring, and support to project teams throughout the implementation lifecycle.<br> Required Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, Construction Management, or a related field.<br> 8–10+ years of relevant experience , including extensive hands-on experience with Oracle Aconex.<br> Proven experience leading Oracle Aconex implementation and deployment projects from initiation through go-live.<br> Strong expertise in Aconex configuration, document control, workflows, correspondence management, forms, and security.<br> Experience designing enterprise document management solutions and implementation strategies.<br> Experience integrating Oracle Aconex with enterprise systems and external applications.<br> Strong understanding of document management, project information management, and engineering/construction workflows.<br> Excellent analytical, problem-solving, communication, and stakeholder management skills.<br> Experience leading technical teams and coordinating implementation activities.<br> Preferred Qualifications Oracle Aconex certifications are highly desirable.<br> Experience in engineering, construction, infrastructure, real estate, or capital projects.<br> Knowledge of document control best practices and project information management.<br> Experience with APIs, system integrations, and data migration.<br> Familiarity with cloud-based enterprise applications and digital transformation initiatives.<br> Experience working in remote and cross-functional project environments.<br> Key Skills Oracle Aconex Architecture Oracle Aconex Implementation &amp; Deployment Solution Design Technical Leadership Document Control &amp; Document Management Workflow Configuration System Integration Data &amp; Document Migration User &amp; Security Configuration Stakeholder Management Technical Documentation Testing (SIT/UAT) &amp; Go-Live Support Problem Solving &amp; Troubleshooting</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking an AI Solutions Architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI Solutions Architect works closely with AI Engineers, IT Business Partners, AI Champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI Proof of Value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p><p>Responsibilities:</p><ol><li>Strategy &amp; Architecture Leadership<ul><li>Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments</li><li>Collaborate with the Architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles</li><li>Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders</li><li>Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles</li><li>Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware</li></ul></li><li>AI Solution Design &amp; Technical Oversight<ul><li>Architect end-to-end AI solutions across the company's key business domains including Manufacturing, Quality &amp; Regulatory Affairs, R&amp;D, Commercial, Supply Chain, HR, and Finance</li><li>Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints</li><li>Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance</li><li>Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability</li><li>Guide AI Developers in translating architecture designs into well-structured, maintainable, and production-ready solutions</li><li>Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows</li></ul></li><li>Platform Engineering &amp; Infrastructure<ul><li>Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling</li><li>Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards</li><li>Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers</li><li>Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data &amp; Analytics team</li><li>Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable</li></ul></li><li>Governance, Compliance &amp; Responsible AI<ul><li>Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes</li><li>Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns</li><li>Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository</li><li>Coordinate with IT Security, Data Privacy, Legal, Quality Assurance, and Regulatory Affairs to ensure AI solutions meet all applicable oversight requirements</li><li>Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning</li></ul></li><li>Technical Leadership &amp; Enablement<ul><li>Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI Developer team</li><li>Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team</li><li>Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality</li><li>Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments</li><li>Represent the company's AI technical standards in cross-functional project delivery teams and steering committees</li></ul></li><li>Stakeholder Engagement &amp; Communication<ul><li>Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences</li><li>Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges</li><li>Collaborate with IT Business Partners and AI Champions to provide technical feasibility input into AI opportunity assessments</li><li>Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation</li></ul></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related technical field</li><li>Master's degree in Artificial Intelligence, Data Science, Computer Science, or related discipline is preferred</li><li>Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred</li><li>TOGAF or equivalent enterprise architecture certification is preferred</li><li>7-10 years of professional experience in IT, software engineering, data &amp; analytics, or AI/ML implementation</li><li>4-6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment</li><li>Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment</li><li>Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred</li><li>Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred</li><li>Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred</li></ul><p>Skills:</p><p><strong>Technical Competencies:</strong></p><ul><li>AI/ML Architecture &amp; Solution Design</li><li>Cloud Platform Architecture (Azure / AWS / GCP)</li><li>ML Ops &amp; Model Lifecycle Management</li><li>Enterprise Integration &amp; API Design</li><li>Data Architecture &amp; Data Engineering</li><li>AI Governance, Ethics &amp; Responsible AI</li><li>Pharmaceutical Regulatory Compliance (GxP, FDA, EMA)</li></ul><p><strong>AI &amp; Technology Skills:</strong></p><ul><li>Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design</li><li>Strong hands-on proficiency with Azure AI Services, Azure Machine Learning, MLflow, or equivalent MLOps tooling</li><li>Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns</li><li>Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms</li><li>Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines</li><li>Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases</li><li>Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (Preferred)</li><li>Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment</li></ul><p></p></section>