وظائف مهندس انظمة مدمجة - عمّان الأردن

<p><h4>About the role</h4> <p>We are seeking a highly skilled and customer-focused Senior Systems Engineer to join our Microsoft Infrastructure team. The successful candidate will be responsible for designing, implementing, and delivering enterprise-grade solutions for our customers while providing expert-level troubleshooting and technical support for complex infrastructure environments.</p> <p>This role requires strong technical expertise, excellent communication skills, and a passion for mentoring junior engineers. The Senior Systems Engineer will work closely with customers to understand their business requirements, architect appropriate solutions, and ensure successful project delivery.</p> <h4>Key responsibilities</h4> <ul> <li>Design, implement, and deliver enterprise infrastructure projects for enterprise customers.</li> <li>Lead technical engagements and provide expert guidance throughout the project lifecycle.</li> <li>Troubleshoot and resolve complex technical issues across Microsoft infrastructure technologies.</li> <li>Build, present, and clearly articulate technical solutions that address customer business and technical requirements.</li> <li>Collaborate with customers, project managers, and internal teams to ensure successful project execution.</li> <li>Lead, mentor, and support junior engineers by sharing knowledge, providing technical guidance, and promoting professional growth.</li> <li>Drive knowledge-sharing initiatives and encourage the adoption of best practices across the team.</li> <li>Identify technical risks and challenges proactively and implement effective mitigation strategies.</li> <li>Communicate complex technical concepts effectively to both technical and non-technical stakeholders.</li> <li>Stay up to date with emerging Microsoft technologies and industry trends to continuously enhance service offerings.</li> <li>Maintain high standards of quality, professionalism, and customer satisfaction.</li> </ul> <h4>Requirements</h4> <h4>Education</h4> <p>Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.</p> <h4>Experience</h4> <ul> <li>Minimum of 4 years of hands-on experience in a customer-facing enterprise IT environment.</li> <li>Proven experience delivering enterprise infrastructure projects and supporting enterprise customers.</li> </ul> <h4>Technical skills</h4> <p>Strong knowledge and hands-on experience with:</p> <ul> <li>Active Directory</li> <li>Microsoft Exchange Server</li> <li>Hyper-V</li> <li>Windows Server</li> <li>Microsoft SQL Server</li> <li>Microsoft System Center Products</li> <li>Microsoft Azure</li> <li>Microsoft Entra ID</li> <li>Microsoft 365</li> <li>Microsoft Defender</li> <li>Microsoft Intune</li> <li>Microsoft Purview</li> </ul> <h4>Required competencies</h4> <ul> <li>Strong troubleshooting and problem-solving skills.</li> <li>Excellent communication and presentation skills.</li> <li>Ability to work independently and as part of a team.</li> <li>Strong customer service and stakeholder management skills.</li> <li>Experience mentoring and coaching junior engineers.</li> <li>Ability to manage multiple priorities in a fast-paced environment.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>COGNNA is a fast-growing cybersecurity startup revolutionizing how businesses manage their security operations. Our innovative SaaS platform provides organizations with the tools to detect, prevent, and respond to cyber threats with ease. Headquartered in Riyadh, Saudi Arabia, COGNNA is on a mission to empower businesses locally and internationally to build resilient and cost-effective cybersecurity operations.</p> <p>We are looking for a highly skilled Senior Technical Support Engineer to serve as the ultimate escalation point for our clients' technical issues. In this role, you will focus entirely on ensuring the seamless agent deployment, functionality efficiency, and health of our platform. You will troubleshoot complex system environments, lead agent installations, and conduct client training sessions.</p> <h4>Key responsibilities</h4> <ul> <li><strong>Advanced technical troubleshooting:</strong> Act as the Tier 2/Escalation point for complex technical issues, diagnosing and resolving deep-rooted system, network, and software problems for our clients.</li> <li><strong>Agent installation & management:</strong> Guide clients through, and directly execute, the deployment and configuration of software agents (e.g., EDR, monitoring tools) across diverse enterprise environments (Windows, Linux, Kubernetes, etc.).</li> <li><strong>Client training & onboarding:</strong> Design and deliver comprehensive technical training sessions to ensure clients are fully equipped to utilize and maintain our solutions.</li> <li><strong>Escalation & communication management:</strong> Lead communications with key client stakeholders (including technical champions) during high-priority technical roadblocks, translating complex issues into clear, actionable updates.</li> <li><strong>Knowledge & process improvement:</strong> Author detailed knowledge base (KB) articles and standard operating procedures (SOPs) to streamline future installations and troubleshooting steps.</li> <li><strong>Team mentorship:</strong> Coach and guide junior support staff on advanced troubleshooting techniques and client management.</li> </ul> <h4>Requirements</h4> <ul> <li>5+ years in enterprise technical support, field engineering, or a highly technical, customer-facing B2B SaaS role.</li> <li>Strong skills in managing and fixing major enterprise operating systems, especially Windows, Linux, and macOS.</li> <li>Strong understanding of public cloud platforms (AWS, Azure, or GCP) to support and fix software setups in cloud and hybrid environments.</li> <li>Strong understanding of network setups and protocols, including TCP/IP, DNS, ICMP, and firewalls, with the ability to use network tools to fix connectivity and installation blocks.</li> <li>Skilled in PowerShell and Shell scripting (Bash) to automate troubleshooting and handle large-scale software deployments.</li> <li>Good general understanding of cybersecurity products (like EDR, SIEM, or XDR) only from an installation, system compatibility, and setup standpoint.</li> <li>Great ability to break down deployment failures, read complex log files, and copy complex client environments in a test lab.</li> <li>Strong verbal and written communication skills, with the professionalism needed to deliver training and lead important talks during onsite client visits.</li> </ul> <h4>Benefits</h4> <ul> <li>Competitive package – salary, equity options, and saving plan</li> <li>Flexible & remote – work from anywhere with an outcomes-first culture</li> <li>Team of experts – work with designers, engineers, and security professionals solving real-world problems</li> <li>Growth-focused – your ideas ship, your voice counts, your growth matters</li> <li>Global impact – build products that protect critical systems and data</li> </ul></p><p></p>

<p><h4>About the role</h4> <p>We are seeking a highly skilled and customer-focused senior systems engineer to join our Microsoft infrastructure team. The successful candidate will be responsible for designing, implementing, and delivering enterprise-grade solutions for our customers while providing expert-level troubleshooting and technical support for complex infrastructure environments.</p> <p>This role requires strong technical expertise, excellent communication skills, and a passion for mentoring junior engineers. The senior systems engineer will work closely with customers to understand their business requirements, architect appropriate solutions, and ensure successful project delivery.</p> <h4>Key responsibilities</h4> <ul> <li>Design, implement, and deliver enterprise infrastructure projects for enterprise customers.</li> <li>Lead technical engagements and provide expert guidance throughout the project lifecycle.</li> <li>Troubleshoot and resolve complex technical issues across Microsoft infrastructure technologies.</li> <li>Build, present, and clearly articulate technical solutions that address customer business and technical requirements.</li> <li>Collaborate with customers, project managers, and internal teams to ensure successful project execution.</li> <li>Lead, mentor, and support junior engineers by sharing knowledge, providing technical guidance, and promoting professional growth.</li> <li>Drive knowledge-sharing initiatives and encourage the adoption of best practices across the team.</li> <li>Identify technical risks and challenges proactively and implement effective mitigation strategies.</li> <li>Communicate complex technical concepts effectively to both technical and non-technical stakeholders.</li> <li>Stay up to date with emerging Microsoft technologies and industry trends to continuously enhance service offerings.</li> <li>Maintain high standards of quality, professionalism, and customer satisfaction.</li> </ul> <h4>Requirements</h4> <h4>Education</h4> <p>Bachelor's degree in computer science, computer engineering, information technology, or a related field.</p> <h4>Experience</h4> <p>Minimum of 4 years of hands-on experience in a customer-facing enterprise IT environment.</p> <p>Proven experience delivering enterprise infrastructure projects and supporting enterprise customers.</p> <h4>Technical skills</h4> <p>Strong knowledge and hands-on experience with:</p> <ul> <li>Active Directory</li> <li>Microsoft Exchange Server</li> <li>Hyper-V</li> <li>Windows Server</li> <li>Microsoft SQL Server</li> <li>Microsoft System Center Products</li> <li>Microsoft Azure</li> <li>Microsoft Entra ID</li> <li>Microsoft 365</li> <li>Microsoft Defender</li> <li>Microsoft Intune</li> <li>Microsoft Purview</li> </ul> <h4>Required competencies</h4> <ul> <li>Strong troubleshooting and problem-solving skills.</li> <li>Excellent communication and presentation skills.</li> <li>Ability to work independently and as part of a team.</li> <li>Strong customer service and stakeholder management skills.</li> <li>Experience mentoring and coaching junior engineers.</li> <li>Ability to manage multiple priorities in a fast-paced environment.</li> </ul></p><p></p>

<p><h4>About the role</h4> <p>We are seeking a highly skilled and customer-focused senior systems engineer to join our Microsoft infrastructure team. The successful candidate will be responsible for designing, implementing, and delivering enterprise-grade solutions for our customers while providing expert-level troubleshooting and technical support for complex infrastructure environments.</p> <p>This role requires strong technical expertise, excellent communication skills, and a passion for mentoring junior engineers. The senior systems engineer will work closely with customers to understand their business requirements, architect appropriate solutions, and ensure successful project delivery.</p> <h4>Key responsibilities</h4> <ul> <li>Design, implement, and deliver enterprise infrastructure projects for enterprise customers.</li> <li>Lead technical engagements and provide expert guidance throughout the project lifecycle.</li> <li>Troubleshoot and resolve complex technical issues across Microsoft infrastructure technologies.</li> <li>Build, present, and clearly articulate technical solutions that address customer business and technical requirements.</li> <li>Collaborate with customers, project managers, and internal teams to ensure successful project execution.</li> <li>Lead, mentor, and support junior engineers by sharing knowledge, providing technical guidance, and promoting professional growth.</li> <li>Drive knowledge-sharing initiatives and encourage the adoption of best practices across the team.</li> <li>Identify technical risks and challenges proactively and implement effective mitigation strategies.</li> <li>Communicate complex technical concepts effectively to both technical and non-technical stakeholders.</li> <li>Stay up to date with emerging Microsoft technologies and industry trends to continuously enhance service offerings.</li> <li>Maintain high standards of quality, professionalism, and customer satisfaction.</li> </ul> <h4>Requirements</h4> <h4>Education</h4> <p>Bachelor's degree in computer science, computer engineering, information technology, or a related field.</p> <h4>Experience</h4> <p>Minimum of 4 years of hands-on experience in a customer-facing enterprise IT environment.</p> <p>Proven experience delivering enterprise infrastructure projects and supporting enterprise customers.</p> <h4>Technical skills</h4> <p>Strong knowledge and hands-on experience with:</p> <ul> <li>Active Directory</li> <li>Microsoft Exchange Server</li> <li>Hyper-V</li> <li>Windows Server</li> <li>Microsoft SQL Server</li> <li>Microsoft System Center Products</li> <li>Microsoft Azure</li> <li>Microsoft Entra ID</li> <li>Microsoft 365</li> <li>Microsoft Defender</li> <li>Microsoft Intune</li> <li>Microsoft Purview</li> </ul> <h4>Required competencies</h4> <ul> <li>Strong troubleshooting and problem-solving skills.</li> <li>Excellent communication and presentation skills.</li> <li>Ability to work independently and as part of a team.</li> <li>Strong customer service and stakeholder management skills.</li> <li>Experience mentoring and coaching junior engineers.</li> <li>Ability to manage multiple priorities in a fast-paced environment.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML / CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>A high-growth startup company is looking for an agile, fast-learning backend engineer with 1–2 years of experience who thrives in a fast-paced, ever-changing environment and is eager to build reliable backend services while growing within the team. You'll work closely with senior engineers, product managers, and frontend teams to develop APIs, support and maintain existing applications and internal tools, adapt quickly to shifting priorities, and contribute to scalable backend solutions that power our products.</p> <h4>Responsibilities:</h4> <ul> <li>Design, develop, and maintain backend services and APIs under guidance from senior engineers, adapting quickly as requirements evolve.</li> <li>Support, maintain, and improve existing applications and internal tools — fixing bugs, addressing tech debt, and keeping things running smoothly as the product evolves.</li> <li>Build and maintain internal tools that help other teams (ops, support, product) work more efficiently.</li> <li>Implement business logic and integrations that support product features, often under tight timelines.</li> <li>Write clean, maintainable, and well-tested code following established backend standards.</li> <li>Collaborate with frontend engineers, product managers, and designers — adjusting quickly to new information and shifting priorities.</li> <li>Assist in optimizing system performance, reliability, and security across both new and existing systems.</li> <li>Participate actively in sprint planning, stand-ups, and code reviews, bringing energy and flexibility to the team's iterative process.</li> <li>Contribute to CI/CD pipelines, deployments, and basic monitoring activities.</li> <li>Troubleshoot and resolve backend issues quickly and calmly, in both development and production environments — including legacy code you didn't originally write.</li> <li>Respond to ad hoc requests for fixes, enhancements, or support on existing systems as business needs arise.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, engineering, or a related field (or equivalent practical experience).</li> <li>1–2 years of experience in backend development, ideally in a startup or fast-iteration environment.</li> <li>Good proficiency in Node.js / JavaScript for backend services.</li> <li>Experience building and consuming APIs (REST).</li> <li>Comfortable working within and maintaining existing codebases, not just building from scratch.</li> <li>Basic understanding of databases (SQL and/or NoSQL) and data modeling concepts.</li> <li>Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.</li> <li>Basic experience with Git and modern development workflows.</li> <li>Strong working knowledge of Agile/Scrum methodologies, with genuine comfort handling changing requirements and rapid iteration.</li> <li>Strong problem-solving mindset, adaptability, and willingness to learn quickly.</li> <li>Good communication skills and ability to work in a collaborative, fast-moving team environment.</li> </ul> <h4>Benefits</h4> <h4>Guiding Principles & Values:</h4> <ul> <li>Data-driven, tech first</li> <li>Committed to exceptional experience</li> <li>Holistic ownership</li> <li>Challenging the status quo</li> <li>Together for growth</li> <li>No finish line</li> </ul></p><p></p>

<p><h4>Description</h4> <p>A high-growth startup company is looking for an agile, fast-learning backend engineer with 1–2 years of experience who thrives in a fast-paced, ever-changing environment and is eager to build reliable backend services while growing within the team. You'll work closely with senior engineers, product managers, and frontend teams to develop APIs, support and maintain existing applications and internal tools, adapt quickly to shifting priorities, and contribute to scalable backend solutions that power our products.</p> <h4>Responsibilities:</h4> <ul> <li>Design, develop, and maintain backend services and APIs under guidance from senior engineers, adapting quickly as requirements evolve.</li> <li>Support, maintain, and improve existing applications and internal tools — fixing bugs, addressing tech debt, and keeping things running smoothly as the product evolves.</li> <li>Build and maintain internal tools that help other teams (ops, support, product) work more efficiently.</li> <li>Implement business logic and integrations that support product features, often under tight timelines.</li> <li>Write clean, maintainable, and well-tested code following established backend standards.</li> <li>Collaborate with frontend engineers, product managers, and designers — adjusting quickly to new information and shifting priorities.</li> <li>Assist in optimizing system performance, reliability, and security across both new and existing systems.</li> <li>Participate actively in sprint planning, stand-ups, and code reviews, bringing energy and flexibility to the team's iterative process.</li> <li>Contribute to CI/CD pipelines, deployments, and basic monitoring activities.</li> <li>Troubleshoot and resolve backend issues quickly and calmly, in both development and production environments — including legacy code you didn't originally write.</li> <li>Respond to ad hoc requests for fixes, enhancements, or support on existing systems as business needs arise.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, engineering, or a related field (or equivalent practical experience).</li> <li>1–2 years of experience in backend development, ideally in a startup or fast-iteration environment.</li> <li>Good proficiency in Node.js / JavaScript for backend services.</li> <li>Experience building and consuming APIs (REST).</li> <li>Comfortable working within and maintaining existing codebases, not just building from scratch.</li> <li>Basic understanding of databases (SQL and/or NoSQL) and data modeling concepts.</li> <li>Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.</li> <li>Basic experience with Git and modern development workflows.</li> <li>Strong working knowledge of Agile/Scrum methodologies, with genuine comfort handling changing requirements and rapid iteration.</li> <li>Strong problem-solving mindset, adaptability, and willingness to learn quickly.</li> <li>Good communication skills and ability to work in a collaborative, fast-moving team environment.</li> </ul> <h4>Benefits</h4> <h4>Guiding Principles & Values:</h4> <ul> <li>Data-driven, tech first</li> <li>Committed to exceptional experience</li> <li>Holistic ownership</li> <li>Challenging the status quo</li> <li>Together for growth</li> <li>No finish line</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML / CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Job description</h4> <p><strong>Job role - Senior/Principal MEP Engineer (Building Services)</strong><br> Verbal and written communication in English is mandatory.</p> <p><strong>Strong experience:</strong></p> <ul> <li>8–15 years of mechanical building services design experience</li> <li>Strong HVAC design background</li> <li>Commercial, residential, mixed-use project experience</li> <li>ASHRAE and NFPA knowledge</li> <li>GCC/Middle East project experience</li> </ul> <p><strong>Responsibilities:</strong></p> <ul> <li>Support and deliver mechanical design packages for building services projects</li> <li>Work on HVAC, plumbing, drainage, and fire protection systems</li> <li>Ensure designs comply with international codes (ASHRAE, NFPA, BS) and local authority requirements</li> <li>Contribute to sustainable design solutions, including energy-efficient systems</li> <li>Coordinate with multidisciplinary teams, clients, and contractors</li> <li>Prepare and review technical deliverables</li> <li>Support project delivery from concept through to commissioning</li> </ul> <p><strong>Requirements:</strong></p> <ul> <li>Bachelor’s degree in Mechanical Engineering</li> <li>8–15 years of experience in mechanical building services design</li> <li>Good knowledge of international standards and local authority requirements</li> <li>Experience working on building projects (commercial, residential, mixed-use)</li> <li>Strong coordination and communication skills</li> <li>Middle East experience preferred</li> </ul> <p>With over 90 years' combined experience, NES Fircroft is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining, and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Careem is building the Everything App for the greater Middle East making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people s lives and build an awesome organisation that inspires. Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan. We re now entering our next chapter one powered by AI. We re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it s streamlining operations, enhancing customer experience, or reimagining internal systems we want people who can make Careem work smarter and move faster.</p><p>About the Role Careem's Marketplace ETA &amp; Routing team sits at the heart of how millions of customers experience our platform. We power the estimated delivery times and routing logic across every Careem vertical Food, Groceries, Abu Dhabi Taxi, and Hala from the moment a customer browses a menu to the second their order arrives at the door. As a Senior Software Engineer I on this team, you will build and maintain the highly reliable backend systems that make real-time ETAs and delivery routing possible at scale. You'll work alongside a tight-knit, backend-focused team of engineers across Jordan, Pakistan, and Dubai, and take ownership of critical infrastructure that directly shapes the customer experience across all of Careem's delivery products.</p><p>What You'll Do</p><ul><li>Design, build, and maintain highly scalable and robust backend services powering real-time ETA computation and delivery routing across all Careem verticals.</li><li>Write high-quality, performant, and reliable Golang code while delivering complete features and resolving bugs independently.</li><li>Understand functional specifications end-to-end and translate them into production-grade backend solutions.</li><li>Ensure system reliability through rigorous testing practices unit, integration, and end-to-end with a reliability-first engineering mindset.</li><li>Participate in the on-call rotation and respond to incidents within defined SLAs, helping to maintain platform uptime and stability.</li><li>Contribute to team agile and engineering practices, and play an active role in their continuous improvement.</li><li>Collaborate closely with teammates across multiple time zones, contributing to a culture of technical excellence and strong team cohesion.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>4+ years of professional software development experience.</li><li>Bachelor's Degree in Computer Science or a related technical field.</li><li>Hands-on experience with Golang or at least one modern object-oriented programming language (Java, C#, C++, Kotlin); Golang is the primary language of our stack.</li><li>Strong Computer Science fundamentals: object-oriented design, data structures, and algorithms.</li><li>Proven experience operating and deploying changes to live production systems reliably.</li><li>A collaborative, team-first mindset with strong communication skills.</li><li>Nice to Have Experience with routing systems, ETA computation, or geospatial/logistics domains.</li><li>Familiarity with cloud platforms such as AWS, Google Cloud Platform, or Azure.</li><li>Experience with container technologies including Docker and Kubernetes.</li><li>Working knowledge of relational and non-relational database systems.</li><li>Experience applying software engineering best practices: coding standards, code reviews, source control, build processes, and testing.</li><li>Master's Degree in Computer Science or a related technical field.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an Associate Software Engineer to join our dynamic engineering teams and contribute to the development of innovative software solutions. As an Associate Software Engineer, you will work as part of a Scrum team responsible for delivering components of our flagship products and platforms. This entry-level professional position provides an excellent opportunity to develop your technical skills while contributing to meaningful software development projects that impact millions of users globally. Your primary responsibility is to work as a Quality Engineer, focusing on developing regression tests, end-to-end (E2E) tests, and other quality assurance solutions to ensure product reliability and performance.</p><p>How You Will Make an Impact</p><p>As an Associate Software Engineer, you will work in teams responsible for delivering one or more product components across various platforms including research, education, and corporate learning systems. You will be responsible for delivering solid and maintainable software through established good processes while taking ownership over component, product, or project lifecycles. You will provide technical support and assistance to end-users, troubleshoot application issues, and resolve them in a timely manner. Your responsibilities will include documenting and tracking support tickets, escalating unresolved issues following established procedures, and contributing to continuous improvement of support processes and procedures.</p><p>Skills and Qualifications</p><p>Core Technical Skills:</p><ul><li>Excellent knowledge of computer science concepts</li><li>Basic understanding of Java-based development</li><li>Good understanding of client/server applications, relational databases, and web-based application</li><li>What is HTTP and how is it used in client-server communication? Can you explain what happens when you type a URL into a browser? What is the role of a server in a client-server architecture?</li><li>Knowledge of version control systems and collaborative development practices.</li></ul><p>Development Technologies:</p><ul><li>Experience with modern web technologies and frameworks</li><li>Understanding of API development and integration concepts</li><li>Basic knowledge of cloud technologies and deployment practices</li><li>Familiarity with agile development methodologies</li><li>Experience with debugging and problem-solving techniques</li><li>Knowledge of testing principles and quality assurance practices</li></ul><p>Professional Capabilities:</p><ul><li>Strong written and oral communication skills</li><li>Ability to work effectively in team environments</li><li>Willingness to learn new skills and technologies continuously</li><li>Passion for software development with an engineering mindset</li><li>Eagerness to take on new challenges and grow professionally</li><li>Understanding of the value in collaborative work and knowledge sharing.</li></ul><p>Technical Support Skills:</p><ul><li>Ability to provide technical support via ticketing systems, emails, or calls</li><li>Skills in troubleshooting and diagnosing application problems</li><li>Experience with documentation and ticket tracking systems</li><li>Capability to escalate issues appropriately following established procedures</li><li>Ability to educate end-users on effective application usage</li></ul><p>Educational and Experience Requirements:</p><ul><li>Bachelor's degree in Computer Science, Information Technology, Information Systems, or equivalent qualification</li><li>0-12 months of relevant technical experience (internships and projects considered)</li><li>Entry-level position suitable for recent graduates or career changers</li><li>Demonstrated passion for technology and continuous learning</li><li>Strong track record of conscientious, thoughtful work</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Information Systems, or equivalent qualification</li><li>0-12 months of relevant technical experience (internships and projects considered)</li><li>Entry-level position suitable for recent graduates or career changers</li><li>Demonstrated passion for technology and continuous learning</li><li>Strong track record of conscientious, thoughtful work</li><li>Excellent knowledge of computer science concepts</li><li>Basic understanding of Java-based development</li><li>Good understanding of client/server applications, relational databases, and web-based application</li><li>Knowledge of version control systems and collaborative development practices.</li><li>Experience with modern web technologies and frameworks</li><li>Understanding of API development and integration concepts</li><li>Basic knowledge of cloud technologies and deployment practices</li><li>Familiarity with agile development methodologies</li><li>Experience with debugging and problem-solving techniques</li><li>Knowledge of testing principles and quality assurance practices</li><li>Strong written and oral communication skills</li><li>Ability to work effectively in team environments</li><li>Willingness to learn new skills and technologies continuously</li><li>Passion for software development with an engineering mindset</li><li>Eagerness to take on new challenges and grow professionally</li><li>Understanding of the value in collaborative work and knowledge sharing.</li><li>Ability to provide technical support via ticketing systems, emails, or calls</li><li>Skills in troubleshooting and diagnosing application problems</li><li>Experience with documentation and ticket tracking systems</li><li>Capability to escalate issues appropriately following established procedures</li><li>Ability to educate end-users on effective application usage</li></ul><p></p></section>

<p><b>Main Responsibilities</b></p><p>1. Assist plant in monitoring / achieving KPI s .</p><p>2. Assist plant in achieving ISO , BRC and food safety .</p><p>3. Assist department managers in their daily works , follow up of issues .</p><p>4. Analyze L/C and size change activities and highlight areas for improvements .</p><p>5. Analyze issues affecting performance &amp; down time , Quality issues , repair jobs PM and suggests improvements and actions to prevent reoccurrence of problems .</p><p>6. Follow up of general projects and participate in report writing.</p><p>7. Monitor daily work of employees in the department he is assigned and looks for ways to improve performance .</p><p>8. Use hands skills when required .</p><p>9. Assist in implementing company systems , procedures and train work force to ensure adequate comply .</p><p>10. Assist in visual management activities and auditing work places and follow up with related departments</p>

<p><h4>Job description</h4> <p><strong>Job role - Principal engineer – mechanical – aviation buildings</strong><br> Verbal and written communication in English is mandatory.</p> <h4>Responsibilities:</h4> <ul> <li>Lead mechanical/HVAC design from feasibility and basis-of-design (BoD) through detailed design, tender and construction support for aviation facilities.</li> <li>Own the environmental strategy for very large volumes (e.g., hangar bays): heating/cooling concepts, destratification, purge/exhaust modes, make-up air, and controls sequences—balancing energy, IAQ and safety (UFC/ASHRAE/NFPA context).</li> <li>Engineer specialist ventilation for hazardous operations: paint spray booths/rooms, fuel-cell maintenance/purge ventilation, welding/fume extraction, VOC control, and hazardous-area interfaces with electrical/controls.</li> <li>Integrate process utilities common to MRO and workshops.</li> <li>Shape catering facility HVAC and hygienic air zones: kitchen exhaust and makeup air (NFPA 96), pressure cascades, temperature/humidity control for clean prep/packing.</li> <li>Deliver BIM-led coordination (Revit/Navisworks) across architecture, structures, process, fire protection, and controls; lead clash resolution and model QA.</li> <li>Run calculations and simulations: loads, duct/pipe sizing, ventilation rates, smoke/fume capture, and (where needed) CFD to support the thermal comfort studies.</li> <li>Author technical documents: BoD, design reports, specifications, sequences of operation, control narratives, FAT/SAT/commissioning plans.</li> <li>Engage stakeholders—airlines/MROs, airport operators, food safety teams, and authorities—to secure approvals and smooth delivery.</li> <li>Lead retrofit, refurbishment, and brownfield upgrade projects within operational airport environments—assessing existing systems, developing phased upgrade strategies, ensuring minimal disruption to ongoing operations, and integrating new systems with legacy infrastructure while addressing capacity, compliance, and energy performance improvements.</li> </ul> <h4>Key systems and domains you’ll cover:</h4> <ul> <li>Hangars and workshops: general and emergency exhaust, purge ventilation for fuel system work, floor-level capture where required, destratification/ HVLS fans, door air management, radiant/air systems, PCA (pre-conditioned air) and GSE interfaces.</li> <li>Catering facilities: high-duty kitchen exhaust and makeup air (hoods, MAUs, heat recovery), grease ducting, rooftop terminations, pressure zoning for hygiene, and interfaces to cold rooms/freezers and clean areas.</li> <li>Experience in refurbishment projects, passenger terminal building mechanical design (HVAC, drainage systems) is preferred.</li> </ul> <h4>Qualifications:</h4> <ul> <li>Bachelor’s or master’s degree in mechanical engineering.</li> <li>Professional registration (e.g., CEng/PE) strongly preferred.</li> <li>15+ years’ experience in building services (mechanical/HVAC), with significant aviation project delivery (passenger terminal building, hangars, MRO shops, flight catering, or similar).</li> <li>Proven leadership as lead/principal engineer on multi-disciplinary design projects and prior delivery in live airport environments (airside/landside interfaces, works phasing) is preferred.</li> <li>Expertise writing BoDs, specifications, P&IDs, control sequences, etc.</li> <li>BIM fluency: Revit, Navisworks; competence with calculations (e.g., IES-VE/HAP/eQuest), CFD exposure preferred.</li> <li>Client-facing communication and team leadership; mentoring and QA/QC across multiple concurrent packages.</li> <li>Strong communication skills for effective client presentations, stakeholder workshops, and cross-functional coordination.</li> <li>Willingness to be based at Dammam Airport for the initial phase of the project (short-term assignment) and relocate to the main office upon project completion.</li> </ul> <p>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the oil & gas, power & renewables, chemicals, construction & infrastructure, life sciences, mining and manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.</p></p><p></p>

<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 Civil 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> </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>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 Civil 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> </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>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>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>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 Electrical 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>