Model Jobs in Jordan

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>BlackStone eIT is actively looking for a dedicated AI Team Lead to spearhead our Artificial Intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence. Responsibilities: Lead the AI team in designing, developing, and implementing AI models and systems. Collaborate with stakeholders to identify AI opportunities that drive business value. Guide the team to effectively use machine learning frameworks and tools. Oversee project lifecycle from research and prototyping to production deployment. Maintain knowledge of latest trends and advancements in AI and machine learning. Establish best practices and foster a culture of continuous improvement and innovation.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering.</li><li>3+ years of experience in a technical leadership or mentoring role.</li><li>Programming &amp; Frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li><li>Cloud Infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li><li>NLP Expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.</li><li>CV Expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li><li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li><li>Experience with building and deploying Autonomous AI Agents (e.g., using Langchain,langgraph,Crew ai ).</li><li>Background in edge deployment for Computer Vision models (TensorRT, ONNX).</li></ul><p></p></section>

<p><h4>Description</h4> <p>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/Lang Graph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, Lang Graph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>Description</h4> <p>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/Lang Graph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, Lang Graph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>Description</h4> <p>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/LangGraph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, LangGraph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>Description</h4> <p>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/LangGraph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, LangGraph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives.</h4> <p>This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using Langchain, Langgraph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives.</h4> <p>This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using Langchain, Langgraph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>BlackStone eIT is actively looking for a dedicated AI Team Lead to spearhead our Artificial Intelligence initiatives.<br> This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision.<br> You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.<br> Responsibilities: Lead the AI team in designing, developing, and implementing AI models and systems.<br> Collaborate with stakeholders to identify AI opportunities that drive business value.<br> Guide the team to effectively use machine learning frameworks and tools.<br> Oversee project lifecycle from research and prototyping to production deployment.<br> Maintain knowledge of latest trends and advancements in AI and machine learning.<br> Establish best practices and foster a culture of continuous improvement and innovation.<br> Paid Time Off Performance Bonus Training &amp; Development Experience: 6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering.<br> 3+ years of experience in a technical leadership or mentoring role.<br> Programming &amp; Frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).<br> Cloud Infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).<br> NLP Expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.<br> CV Expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.<br> MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.<br> Experience with building and deploying Autonomous AI Agents (e.<br>g., using Langchain,langgraph,Crew ai ).<br> Background in edge deployment for Computer Vision models (TensorRT, ONNX).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>BlackStone eIT is actively looking for a dedicated AI Team Lead to spearhead our Artificial Intelligence initiatives.<br> This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision.<br> You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.<br> Responsibilities: Lead the AI team in designing, developing, and implementing AI models and systems.<br> Collaborate with stakeholders to identify AI opportunities that drive business value.<br> Guide the team to effectively use machine learning frameworks and tools.<br> Oversee project lifecycle from research and prototyping to production deployment.<br> Maintain knowledge of latest trends and advancements in AI and machine learning.<br> Establish best practices and foster a culture of continuous improvement and innovation.<br> Paid Time Off Performance Bonus Training &amp; Development Experience: 6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering.<br> 3+ years of experience in a technical leadership or mentoring role.<br> Programming &amp; Frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).<br> Cloud Infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).<br> NLP Expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.<br> CV Expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.<br> MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.<br> Experience with building and deploying Autonomous AI Agents (e.<br>g., using Langchain,langgraph,Crew ai ).<br> Background in edge deployment for Computer Vision models (TensorRT, ONNX).<br></span> </div>

<p><br></p><p>What you'll be doing</p><p><strong>Leadership, Coaching &amp; Team Engagement</strong></p><ul><li>Lead, coach, and engage a team of customer care consultants and senior consultants, fostering a culture of ownership, accountability, and continuous improvement .</li><li>Create a high-energy, resilient team environment capable of operating effectively under pressure and during peak periods.</li><li>Conduct regular one-to-ones, performance reviews, and structured feedback sessions aligned with individual development plans (IDPs).</li><li>Act as a role model for luxury communication standards , professionalism, and customer-centric leadership.</li></ul><p><strong>Performance Management &amp; KPI Ownership</strong></p><ul><li>Own and drive key operational and commercial KPIs including SLA, productivity, quality, resolution rates, CSAT, conversion, and sales contribution .</li><li>Use data and insights to proactively identify performance gaps, root causes, and improvement opportunities.</li><li>Design and implement corrective action plans to improve results and customer outcomes.</li><li>Ensure consistent adherence to brand tone of voice, service standards, and experience guidelines across all channels.</li></ul><p><strong>Commercial Mindset &amp; Sales Enablement</strong></p><ul><li>Drive a selling-in-service mindset , ensuring teams confidently identify and act on upsell, cross-sell, and assisted sales opportunities.</li><li>Support revenue-generating initiatives such as Pay-by-Link, assisted checkout, and campaign execution .</li><li>Balance service excellence with commercial outcomes, contributing directly to customer lifetime value and retention .</li></ul><p><strong>AI, Automation &amp; Digital Enablement</strong></p><ul><li>Actively support and adopt AI-enabled tools , automation initiatives, and chatbot / conversational flow designs.</li><li>Partner with CX, Digital, and AI teams to:</li><ul><li>Improve deflection and self-service journeys</li><li>Reduce repetitive contacts</li><li>Enhance agent productivity through technology</li></ul><li>Champion change management and ensure teams are trained, confident, and engaged with new digital capabilities.</li></ul><p><strong>Stakeholder &amp; Brand Management</strong></p><ul><li>Collaborate closely with multiple brands, retail teams, e-commerce, digital, and operations stakeholders to align on priorities and customer journeys.</li><li>Manage escalations professionally while protecting brand equity and customer trust.</li><li>Act as a key bridge between frontline execution and strategic CX initiatives.</li></ul><p><strong>Reporting, Insights &amp; Continuous Improvement</strong></p><ul><li>Prepare and deliver accurate weekly and monthly performance reports , supported by data-driven insights.</li><li>Analyze customer trends, complaints, VOC feedback, and operational data to recommend improvements.</li><li>Proactively flag systemic issues and contribute to process optimization and journey simplification initiatives.</li></ul><p>What you ll need to succeed</p><p><strong>Experience &amp; Background</strong></p><ul><li>Proven experience in customer care or contact center operations, with prior supervisory or team leadership experience .</li><li>Experience in luxury retail, beauty, fashion, or e-commerce is a strong advantage.</li><li>Demonstrated ability to lead teams in a high-volume, fast-paced environment .</li></ul><p><strong>Capabilities &amp; Skillset</strong></p><ul><li>Strong leadership presence with excellent coaching, communication, and engagement skills.</li><li>Solid understanding of performance management, KPIs, SLAs, and quality frameworks .</li><li>Strong commercial awareness with the ability to drive sales through service.</li><li>High analytical capability with confidence in reporting, data interpretation, and decision-making.</li><li>Exposure to or strong interest in AI, automation, chatbot journeys, and digital CX transformation .</li><li>Hands-on knowledge of Genesys, Salesforce Service Cloud (SFSC), and Sprinklr is a strong plus.</li><li>Exceptional written and verbal communication skills aligned with luxury brand standards .</li></ul><p>What we can offer you</p><p>With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day. We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.</p><p>We Invite All Applicants to Apply</p><p>It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity. We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Proven experience in customer care or contact center operations, with prior supervisory or team leadership experience .</li><li>Experience in luxury retail, beauty, fashion, or e-commerce is a strong advantage.</li><li>Demonstrated ability to lead teams in a high-volume, fast-paced environment .</li><li>Strong leadership presence with excellent coaching, communication, and engagement skills.</li><li>Solid understanding of performance management, KPIs, SLAs, and quality frameworks .</li><li>Strong commercial awareness with the ability to drive sales through service.</li><li>High analytical capability with confidence in reporting, data interpretation, and decision-making.</li><li>Exposure to or strong interest in AI, automation, chatbot journeys, and digital CX transformation .</li><li>Hands-on knowledge of Genesys, Salesforce Service Cloud (SFSC), and Sprinklr is a strong plus.</li><li>Exceptional written and verbal communication skills aligned with luxury brand standards .</li></ul>

<p>1. JOB DETAILS:</p><p>Job Title: Analyst, ML Engineer</p><p>Reports to: Sr. Manager, IT Digital Platforms &amp; Digital Transformation</p><p>Department: IT Applications</p><p>Function: IT Applications</p><p>Company: Hikma Holding</p><p>2. JOB PURPOSE:</p><p>The ML Engineer is responsible for supporting the development, testing, and deployment of machine learning models and AI-powered pipelines across Hikma Pharmaceuticals. Working as part of the AI team under the Sr. Manager, IT Digital Platforms &amp; Digital Transformation, and under the close guidance of the AI Architect and AI developers team, this role provides hands-on ML engineering support across the solution lifecycle from data preparation and model experimentation through to deployment and monitoring. The ML Engineer is expected to develop their machine learning and data engineering skills rapidly within a structured team environment, contributing to Hikma's enterprise AI transformation while building foundational expertise in regulated pharmaceutical AI delivery.</p><p>3. JOB DIMENSIONS:</p><p>Number of Staff Supervised: Direct Reports Count: 0 (0 vacant)</p><p>Indirect Reports Count: N/A</p><p>Financial Budget (USD): Supports AI initiative delivery under team supervision</p><p>4. KEY ACCOUNTABILITIES:</p><p>ML Model Development &amp; Experimentation</p><ul><li>Support the development, training, and evaluation of machine learning models under the guidance of the AI Architect and senior team members, following approved architecture standards and initiative briefs</li><li>Assist in ML experimentation activities including data exploration, feature engineering, model selection, and performance evaluation using standard frameworks and cloud AI services</li><li>Apply foundational ML techniques across classical machine learning, NLP, and generative AI domains relevant to Hikma's business areas including Supply Chain, Quality, HR, and Commercial</li><li>Support the implementation of LLM-based solutions including RAG pipelines, prompt engineering, and embedding-based retrieval under senior technical guidance</li><li>Maintain experiment tracking logs, model versioning records, and reproducibility documentation using tools such as ML flow or Azure Machine Learning</li><li>Produce clear and accurate model development artefacts including experiment summaries, performance reports, and model documentation</li></ul><p>Data Engineering &amp; Feature Development</p><ul><li>Assist in building and maintaining ML data pipelines covering data ingestion, transformation, validation, and basic feature engineering for model training and inference workflows</li><li>Support data quality checks, anomaly detection, and dataset preparation activities to ensure ML model inputs meet required standards</li><li>Collaborate with the Data &amp; Analytics team to access and understand available data assets, following data governance and privacy guidelines</li><li>Work with structured data sources including relational databases and enterprise system extracts, developing proficiency in handling diverse data types over time</li></ul><p>ML-Ops &amp; Production Support</p><ul><li>Support the implementation and maintenance of ML-Ops pipeline components including model packaging, deployment, and basic performance monitoring under senior team guidance</li><li>Assist in deploying ML models to cloud environments using approved tooling (Azure Machine Learning, ML-flow, Docker, or equivalent)</li><li>Monitor deployed models for observable performance issues and flag anomalies to the AI Architect or senior team members for investigation</li><li>Maintain accurate records in model registries including versioning and change logs across AI initiatives</li><li>Contribute to the documentation and validation support activities for ML models deployed in GxP-regulated contexts, following defined compliance processes</li></ul><p>Quality Assurance &amp; Testing</p><ul><li>Support the development and execution of testing activities for ML solutions, including data, pipeline tests, model performance checks, and basic integration testing</li><li>Actively participate in code reviews and technical walkthroughs, applying feedback to improve code quality and engineering practices</li><li>Document assigned ML components clearly including data preparation steps, model configurations, test results, and known issues</li><li>Identify and escalate technical issues encountered across the ML stack in a timely and structured manner</li></ul><p>5. Behavioural Competencies:</p><p>Initiative &amp; Drive for Results - Very Good</p><p>Change &amp; Innovation - Very Good</p><p>Communication &amp; Influence - Good</p><p>Developing &amp; Empowering others - Good</p><p>Problem Solving &amp; decision Making - Excellent</p><p>Strategic Thinking - Good</p><p>6. Technical Competencies:</p><p>ML Model Development &amp; Experimentation - Good</p><p>Python &amp; ML Frameworks (PyTorch, TensorFlow, scikit-learn, HuggingFace) - Good</p><p>MLOps &amp; Model Lifecycle Tooling - Good</p><p>Data Engineering &amp; Pipeline Support - Good</p><p>Cloud AI/ML Services (Azure ML) - Good</p><p>Generative AI &amp; LLM Development (RAG, LangChain, Semantic Kernel) - Very Good</p><p>Model Explainability &amp; Responsible AI Awareness - Very Good</p><p>Containerization &amp; CI/CD Basics (Docker, Git, Azure DevOps) - Good</p><p>7. COMMUNICATIONS &amp; WORKING RELATIONSHIPS:</p><p>Internal: AI Champions Network, AI Architect, AI Developer, Data &amp; Analytics Team</p><p>External: AI/ML Vendors &amp; Solution Providers, Implementation Partners, Open Source &amp; Developer Communities</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in computer science, Software Engineering, Data Science, Mathematics, Statistics, or related technical field *(Required)*</li><li>Master's degree in Artificial Intelligence, Machine Learning, Data Science, or Computer Science *(Preferred)*</li><li>Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty, or Google Professional ML Engineer certification *(Preferred)*</li><li>Relevant ML/AI certifications (e.g., DeepLearning.AI ML Specialization, Databricks ML Associate, fast.ai) *(Preferred)*</li><li>0-1 year of professional experience in software development, data science, machine learning, or a related technical field (fresh graduates are welcome to apply)</li><li>Demonstrated hands-on experience with ML model development through academic projects, internships, capstone projects, hackathons, or personal projects</li><li>Familiarity with cloud AI/ML platforms (Azure, AWS, or GCP) gained through coursework, self-study, or practical experimentation *(Preferred)*</li><li>Any exposure to generative AI, LLM tools, or RAG concepts through academic or personal projects *(Preferred)*</li><li>Pharmaceutical, healthcare, life sciences, or other regulated industry exposure *(Preferred but not expected)*</li><li>Working knowledge of Python and foundational ML/DL libraries including scikit-learn, pandas, NumPy, and at least one deep learning framework</li><li>Practical exposure to training and evaluating ML models including classical machine learning and at least one of: NLP, computer vision, or time-series analysis through academic, personal, or internship projects</li><li>Basic familiarity with generative AI concepts including Large Language Models, prompt engineering, and RAG principles *(Preferred)*</li><li>Awareness of ML-Ops concepts and tools such as ML-flow or Azure Machine Learning for experiment tracking and model management *(Preferred)*</li><li>Basic experience with data preparation, cleaning, transformation, and exploratory data analysis using Python</li><li>Familiarity with version control using Git and basic software development practices including code reviews and testing</li><li>Basic understanding of cloud platforms (Azure, AWS, or GCP) and awareness of cloud-based AI/ML services *(Preferred)*</li><li>Familiarity with containerization concepts (Docker) and CI/CD basics *(Preferred)*</li><li>Awareness of responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security practices relevant to ML development</li><li>Any familiarity with pharmaceutical business processes or GxP compliance in a technology context is a plus *(Preferred)*</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> <strong><span>1. JOB DETAILS:</span></strong> <br> <span>Job Title:</span> <span>Analyst, ML Engineer </span> <br> <span>Reports to:</span> <span>Sr. Manager, IT Digital Platforms &amp; Digital Transformation</span> <br> <span>Department:</span> <span>IT Applications </span> <br> <span>Function:</span> <span>IT Applications</span> <br> <span>Company:</span> <span>Hikma Holding</span> <br> <strong><span>2. JOB PURPOSE:</span></strong> <br> </span><p><span>The ML Engineer is responsible for supporting the development, testing, and deployment of machine learning models and AI-powered pipelines across Hikma Pharmaceuticals. Working as part of the AI team under the Sr. Manager, IT Digital Platforms &amp; Digital Transformation, and under the close guidance of the AI Architect and AI developers’ team, this role provides hands-on ML engineering support across the solution lifecycle — from data preparation and model experimentation through to deployment and monitoring. The ML Engineer is expected to develop their machine learning and data engineering skills rapidly within a structured team environment, contributing to Hikma's enterprise AI transformation while building foundational expertise in regulated pharmaceutical AI delivery.</span></p><br> <br> <strong><span>3. JOB DIMENSIONS:</span></strong> <br> <p><span>Number of Staff Supervised:</span></p><br> <p><span>Direct Reports Count:</span></p><br> <p><span>0 (0 vacant)</span></p><br> <br> <p><span>Indirect Reports Count:</span></p><br> <p><span>N/A</span></p><br> <br> <p><span>Financial Budget (USD):</span></p><br> <p><span>Supports AI initiative delivery under team supervision</span></p><br> <br> <p><span>4. KEY ACCOUNTABILITIES:</span></p><br> <br> <p><span>Description</span></p><br> <br> <p><strong><span>ML Model Development &amp; Experimentation</span></strong></p><br> <br> <ul> <li><span>Support the development, training, and evaluation of machine learning models under the guidance of the AI Architect and senior team members, following approved architecture standards and initiative briefs</span></li> <li><span>Assist in ML experimentation activities including data exploration, feature engineering, model selection, and performance evaluation using standard frameworks and cloud AI services</span></li> <li><span>Apply foundational ML techniques across classical machine learning, NLP, and generative AI domains relevant to Hikma's business areas including Supply Chain, Quality, HR, and Commercial</span></li> <li><span>Support the implementation of LLM-based solutions including RAG pipelines, prompt engineering, and embedding-based retrieval under senior technical guidance</span></li> <li><span>Maintain experiment tracking logs, model versioning records, and reproducibility documentation using tools such as ML flow or Azure Machine Learning</span></li> <li><span>Produce clear and accurate model development artefacts including experiment summaries, performance reports, and model documentation</span></li> </ul> <br> <p><strong><span>Data Engineering &amp; Feature Development</span></strong></p><br> <br> <ul> <li><span>Assist in building and maintaining ML data pipelines covering data ingestion, transformation, validation, and basic feature engineering for model training and inference workflows</span></li> <li><span>Support data quality checks, anomaly detection, and dataset preparation activities to ensure ML model inputs meet required standards</span></li> <li><span>Collaborate with the Data &amp; Analytics team to access and understand available data assets, following data governance and privacy guidelines</span></li> <li><span>Work with structured data sources including relational databases and enterprise system extracts, developing proficiency in handling diverse data types over time</span></li> </ul> <br> <p><strong><span>ML-Ops &amp; Production Support</span></strong></p><br> <br> <ul> <li><span>Support the implementation and maintenance of ML-Ops pipeline components including model packaging, deployment, and basic performance monitoring under senior team guidance</span></li> <li><span>Assist in deploying ML models to cloud environments using approved tooling (Azure Machine Learning, ML-flow, Docker, or equivalent)</span></li> <li><span>Monitor deployed models for observable performance issues and flag anomalies to the AI Architect or senior team members for investigation</span></li> <li><span>Maintain accurate records in model registries including versioning and change logs across AI initiatives</span></li> <li><span>Contribute to the documentation and validation support activities for ML models deployed in GxP-regulated contexts, following defined compliance processes</span></li> </ul> <br> <p><strong><span>Quality Assurance &amp; Testing</span></strong></p><br> <br> <ul> <li><span>Support the development and execution of testing activities for ML solutions, including data, pipeline tests, model performance checks, and basic integration testing</span></li> <li><span>Actively participate in code reviews and technical walkthroughs, applying feedback to improve code quality and engineering practices</span></li> <li><span>Document assigned ML components clearly including data preparation steps, model configurations, test results, and known issues</span></li> <li><span>Identify and escalate technical issues encountered across the ML stack in a timely and structured manner</span></li> </ul> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About the Role We are looking for an experienced Senior Mendix Developer to join our team and contribute to the design, development, and delivery of enterprise-scale applications using the Mendix platform.<br> The ideal candidate will have strong hands-on Mendix experience, solid application architecture knowledge, and the ability to lead technical design, perform code/model reviews, and mentor other developers.<br> Key Responsibilities • Design, develop, and maintain enterprise-scale applications using Mendix.<br> • Lead technical design and contribute to application architecture decisions.<br> • Develop and maintain Microflows, Nanoflows, Domain Models, and Workflows.<br> • Design and implement REST/SOAP integrations and enterprise APIs.<br> • Implement and maintain Mendix security, roles, and SSO.<br> • Troubleshoot and optimize application performance and scalability.<br> • Develop Java/JavaScript extensions when required.<br> • Support CI/CD processes and deployments across multiple environments.<br> • Conduct code and model reviews to ensure quality and adherence to engineering best practices.<br> • Mentor developers and provide technical guidance to the team.<br> • Collaborate with stakeholders and technical teams to deliver scalable and secure solutions.<br> • 5+ years of software development experience.<br> • 3+ years of hands-on Mendix experience.<br> • Mendix Advanced Developer Certification or higher is required.<br> • Strong hands-on experience with: o Mendix Studio Pro o Microflows and Nanoflows o Domain Models and Workflows o REST/SOAP integrations and enterprise APIs o Mendix security, roles, and SSO o Performance optimization and troubleshooting o Java/JavaScript extensions o CI/CD and multi-environment deployments • Experience working on enterprise-scale applications and complex integrations.<br> • Strong understanding of: o Application architecture o Security o Scalability o Software engineering best practices • Ability to lead technical design, conduct code/model reviews, and mentor developers.<br></span> </div>

<p><strong>Job Overview</strong></p><p>We are seeking a motivated BIM Architect to join our design and project delivery team in Amman, Jordan.&nbsp;</p><p>This entry- to mid-level position is ideal for an Associate professional with up to 4 years of experience who is passionate about integrating Building Information Modeling (BIM) into architectural practice.&nbsp;</p><p>You will collaborate with architects, engineers, and project stakeholders to develop accurate, coordinated models that drive efficient design, coordination, and construction documentation.</p><p>&nbsp;</p><p><strong>About the Company</strong></p><p>We are a dynamic architectural and design firm dedicated to delivering innovative, sustainable, and technically proficient projects across various sectors.&nbsp;</p><p>Our multidisciplinary team leverages BIM and digital workflows to enhance collaboration, streamline processes, and ensure high-quality outcomes for clients in Jordan and beyond.</p><p>&nbsp;</p><p><strong>Key Responsibilities and Duties</strong></p><ul><li>Develop and manage BIM models (architectural and integrated disciplines) for a range of project types from concept through construction documentation.</li><li>Coordinate with project teams to ensure model accuracy, clash detection, and timely updates to reflect design changes.</li><li>Assume lead or supporting roles in BIM execution planning, standards enforcement, and model organization according to project requirements.</li><li>Create and maintain detailed 3D visualizations, and BIM deliverables aligned with BIM execution plans (BEP) and client standards.</li><li>Assist in the development of parametric models, families, and libraries to improve efficiency and consistency.</li><li>Participate in design reviews, coordination meetings, and construction documentation reviews with internal and external stakeholders.</li><li>Collaborate with engineers and consultants to resolve coordination issues and ensure interoperability across disciplines.</li><li>Support QA/QC processes for BIM content, data management, and model validation.</li><li>Document BIM processes, standards, and best practices for ongoing projects and onboarding new team members.</li></ul><p>&nbsp;</p><p><strong>Qualifications and Requirements</strong></p><ul><li>Bachelor’s degree in Architecture .</li><li>0–4 years of professional experience in BIM-enabled architectural design and documentation.</li><li>Proficiency with industry-standard BIM software (e.g., Autodesk Revit) and related tools (e.g., AutoCAD, Navisworks, BIM 360/ACC, Dynamo is a plus).</li><li>Strong understanding of BIM workflows, model management, and data organization within architectural projects.</li><li>Experience with creating and managing families, annotations, scheduling, and visualization in BIM models.</li><li>Knowledge of local building codes, standards, and regulatory requirements in Jordan is advantageous.</li><li>Strong analytical, problem-solving, and communication skills with the ability to work collaboratively in a cross-disciplinary team.</li><li>Detail-oriented with a commitment to accuracy and quality control.</li></ul><p>&nbsp;</p><p><strong>Required Skills</strong></p><ul><li>Full Proficiency in Autodesk Revit (Architecture) and BIM-authoring workflows.</li><li>Model management, clash detection, and coordination (Navisworks, BIM 360/ACC).</li><li>2D drafting and 3D visualization, including documentation for construction.</li><li>Data organization, parameterization, and family creation within BIM environments.</li><li>Effective communication, teamwork, and ability to interpret design intent.</li><li>Basic scripting or Dynamo experience is a plus.</li></ul><p>&nbsp;</p><p><strong>Benefits and Perks</strong></p><ul><li>Professional development opportunities, including BIM training and certification support.</li><li>Collaborative team culture with exposure to diverse projects and disciplines.</li><li>Flexible working arrangements where possible and a supportive work environment.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role:</p><p>We re seeking an experienced data scientists to deliver insights and act as the hands on modeling lead on client engagements. You will slice and dice data using various methods and create new visions for the future. You ll frame problems, engineer features, build and deploy models, and monitor them in production to support the customer value creation activities. You will ship models that run at scale, withstand audit, and clearly link to incremental business value. While mining, interpreting, and cleaning the data, you will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data s full potential. The ideal candidate will have mathematical and statistical expertise, extensive programming experience in multiple languages along with natural curiosity and a creative mind.</p><p>Core Responsibilities:</p><p>Problem Framing &amp; Target Definition:</p><ul><li>Translate commercial goals into modeling problems (e.g., churn, propensity to buy, uplift, LTV, survival/tenure) with clear success metrics and guardrails</li><li>Identify relevant data sources to mine for client business needs, and collect large structured and unstructured datasets and variables</li></ul><p>Data Analysis:</p><ul><li>Serve as data strategist to identify and integrate new datasets and execute analytical experiments to help solve problems across various domains and industries</li><li>Devise and utilize algorithms and models to mine data, perform data and error analysis to improve models, clean and validate data for uniformity and accuracy</li><li>Analyze data for trends and patterns, and interpret data with clear objectives in mind</li></ul><p>Model Development:</p><ul><li>Create reproducible pipelines and a feature registry to calculate model inputs</li><li>Develop and evaluate churn, cross/upsell propensity, uplift/treatment effect, LTV, ranking/NBA models and select algorithms fit for data, scale, and explainability</li><li>Use clear control/holdouts, quantify precision vs. recall, calibration, and profit curves, simulate outcomes and set practical thresholds and simple policies (eligibility, suppressions, frequency caps)</li></ul><p>Operationalization:</p><ul><li>Implement analytical models in production by collaborating with software developers and machine-learning engineers</li><li>Implement scoring and integrate outputs with client MarTech/decisioning for SMS, email, in app, IVR, and agent assist</li><li>Set up monitoring (performance, drift, calibration, data quality), alerting, and retrain cadence with rollback criteria</li></ul><p>Governance, Risk &amp; Explainability:</p><ul><li>Produce model cards, document features/exclusions, and run proportionate explainability/fairness checks for regulated contexts and maintain audit ready artifacts</li></ul><p>Enablement &amp; Acceleration:</p><ul><li>Create templates, reusable code, and quick start notebooks, /coach client analysts on model usage and monitoring</li><li>Contribute to practice POVs/case studies as needed</li></ul><p>What we look for</p><p>Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3 to 6 years of hands-on experience in applied data science with proficiency in data mining, mathematics, and statistical analysis</li><li>Experience either in an in house data science role at a leading industry player or in a consulting company AI &amp; Advanced Analytics team with multi industry exposure</li><li>Structured problem solver with strong client facilitation skills and executive storytelling ability (able to translate technical findings into clear commercial recommendations)</li><li>Advanced experience in pattern recognition and predictive modeling</li><li>Ability to work with multiple programming languages and datamining tools</li><li>Able to work effectively in a dynamic, research-oriented group that has several concurrent projects</li><li>Bachelor s degree in the field of computer science is preferred (not mandatory)</li></ul><p>Technical Expertise:</p><ul><li>Data platforms: Azure Synapse/Databricks, Google BigQuery, Snowflake, or Amazon Redshift</li><li>Languages: SQL, Python, R and SAS</li><li>BI/Reporting (any): Power BI, Tableau</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Location:</b></p><br><br>Amman, ٰĀmmān, Jordan<br><p><b>Job ID:</b></p><br><br>R0143451<br><p><b>Date Posted:</b></p><br><br>2026-09-07<br><p><b>Company Name:</b></p><br><br>HITACHI ENERGY LIMITED / JORDAN<br><p><b>Profession (Job Category):</b></p><br><br>Engineering &amp; Science<br><p><b>Job Schedule:&nbsp;</b></p><br><br>Full time<br><p><b>Remote:</b></p><br><br>No<br><p><b>Job Description:</b></p><br><br><p>About the Opportunity:</p><br><br><br><p><u>BIM Modeler with experience of substation projects </u></p><br><br><p><u>Qualification: </u>Bachelor’s Degree in Electrical Engineering</p><br><br><p><u>Experience &amp; Skills </u></p><br><br><br><p><b>Your background</b></p><br><br><ul><li>Overall, 5-6 years’ experience with 3-4 years’ work experience in BIM Processes</li><li>Strong modeling skills in REVIT and exposure to ACC (Autodesk Construction Cloud)</li><li>Ability to understand and produce layouts (plan and sections) and produce further detailed drawings</li><li>Excellent written and verbal communication skills</li><li>BIM authoring using <b>Revit</b> (or discipline‑specific tools such as Tekla, Civil 3D)</li><li>Creation and maintenance of:</li></ul><ul><li><b>Parametric families</b></li><li><b>Templates</b></li><li><b>Schedules and quantities</b></li></ul><ul><li>Understanding of <b>LOD / LOI concepts</b> and staged information delivery</li><li>Ability to interpret drawings, specifications, and EIR requirements</li><li>Clear technical communication</li><li>Ability to accept and act on coordination feedback</li></ul><p>Discipline in following defined processes and workflows</p><br><br><ul><li>Understanding of the following will be an added advantage<ul><li><b>BIM Execution Plan (BEP)</b></li><li><b>Task Information Delivery Plan (TIDP)</b></li><li><b>CDE workflows and permissions</b></li></ul></li><li>Accurate naming, versioning, and status tagging of information containers</li></ul><ul><li>Experience in preparation of substation layouts either in 3D or 2D will be added advantage.&nbsp; Experience in preparation of overall equipment layouts, equipment arrangement layouts for AIS and GIS substations, earthing, cable routing, lightning protection layouts, electrical clearances, cut out drawings and civil guides, foundation layouts etc.&nbsp;</li><li>Exposure to 33kV/132kV/220kV/400kV GIS and AIS projects will be an added advantage.</li></ul><br><p><b>How you’ll make an impact&nbsp;</b></p><br><br><ul><li>Produce discipline‑specific BIM models as agreed in the BEP and Task Information Delivery Plan (TIDP)</li><li>Develop models to required LOD / LOI at each project stage (Tender, Design, Construction, as‑Built)</li><li>Populate models with accurate geometry, attributes, parameters, and metadata</li><li>Ensure all authored models comply with:</li></ul><ul><li><b>Model structure and classification rules</b></li><li><b>BIM standards and naming conventions</b></li><li><b>Shared parameter requirements</b></li></ul><ul><li>Perform self‑checks prior to submission to the Common Data Environment (CDE)</li><li>Publish and update models in the CDE as per workflow (WIP → Shared → Published)</li><li>Support BIM Coordinator during:</li></ul><ul><li><b>Model federation</b></li><li><b>Clash detection</b></li><li><b>Issue resolution</b></li></ul><ul><li>Resolve assigned clashes and model issues within agreed timelines</li><li>Implement design changes accurately and traceably</li><li>Maintain version control and update history</li><li>Ensure information containers remain consistent with latest approved inputs</li><li>Coordinate with:</li></ul><ul><li><b>BIM Coordinator (coordination &amp; priorities)</b></li><li><b>Discipline Leads (technical requirements)</b></li></ul><ul><li>Participating in coordination meetings, model reviews, and quality audits as required</li><li>Deliver the project deliverables as per the timelines</li><li>Work with the project engineers to and other stakeholders to check the interfaces</li><li>Generate the bill of quantity/bill of materials from the model or estimate it.</li></ul><br><br><p><b>Accessibility and reasonable accommodation</b></p><br><br><p><b>Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a </b><span><b><u>general inquiry form</u></b></span><b> on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.</b></p><br><br><br><p><b>This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.</b></p><br><br><br><p><b>Use of Al and automated tools in recruitment</b></p><br><br><p><b>As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as </b><span><b><u>Hitachi's Global Data Privacy Notice.</u></b></span><b><br><span>Background Screening and Security Checks</span></b></p><br><br><p><b><span>As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.</span></b></p><br><br><p><b><span>For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.</span></b></p><br><br><p><b><span>The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.</span></b></p><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Goal:-<br>Mobile Developer (Flutter) is responsible for developing user interfaces to<br>improve the speed of applications.</p><p>Main Responsibilites:-<br>Create multi-platform apps for iOS and Android using Google's Flutter<br>framework.<br>Writing clean, readable, and testable code<br>Cooperating with back-end developers, designers, and the rest of the team<br>to deliver well-architected and high-quality solutions<br>Work with RESTful APIs and third-party libraries<br>Use of Model-View-Controller (MVC) and Model-View-View Model-Controller<br>(MVVM) as it relates to designing, developing architecture, and developing<br>maintainable, testable, and functional software that meets product<br>requirements.<br>Connect regularly with the Quality Assurance Specialist to deliver a<br>stable app.<br>Resolve all the bugs reported by the Quality Assurance Specialist in a<br>timely manner.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor Degree in computer science</li><li>Proven experience in the same field</li><li>Communication skills</li><li>Team work</li></ul><p></p></section>

<p>In recent years, organizations have been disrupted and transformed by digital technology, cloud adoption, and the increasing need for scalable, resilient, and value-driven operating models. As a Technology Consulting professional, you will collaborate with multidisciplinary teams to help clients define their cloud strategy, shape cloud operating models, establish governance frameworks, and deliver transformation programs that create measurable business value.</p><p>As organizations look to leverage the advantages that cloud technology offers, EY is committed to helping you develop the right skills needed in today's environment. Working on programs that cross borders and sectors, the experiences you gain here will be truly distinctive. Wherever you start and however long you stay, the exceptional EY experience lasts a lifetime.</p><p><strong>Job Summary</strong></p><p>We are seeking a Cloud Strategy professional for our Amman office to support cloud strategy, Cloud Target Operating Model (CTOM), governance, value realization, and digital transformation engagements across the Middle East.</p><p>This role will provide hands-on delivery support, pursuit support, and thought-leadership contribution across complex cloud and digital transformation engagements. The selected candidate will work with high-performing teams locally and across the region, supporting clients as they assess current-state cloud maturity, define target-state ambitions, mobilize cloud governance, and build operating models that enable sustainable cloud adoption.</p><p><strong>Key Responsibilities</strong></p><p><strong>Cloud Strategy &amp; Advisory</strong></p><ul><li>Support the design and delivery of cloud strategies, adoption roadmaps, and transformation cases.</li><li>Conduct current-state assessments, maturity diagnostics, and gap analyses.</li><li>Develop business cases, value propositions, and investment justifications for cloud initiatives.</li><li>Translate cloud strategy into practical initiatives, workplans, and implementation roadmaps.</li></ul><p><strong>Cloud Target Operating Model (CTOM) &amp; Governance</strong></p><ul><li>Design and document Cloud Target Operating Models including organization, governance, service models, operating processes, and roles and responsibilities.</li><li>Support the definition and mobilization of Cloud Centres of Excellence (CoE).</li><li>Translate regulatory, risk, and policy requirements into practical governance frameworks.</li><li>Support cloud governance, demand management, value tracking, FinOps, and control framework design.</li></ul><p><strong>Delivery, PMO &amp; Stakeholder Support</strong></p><ul><li>Support or lead delivery workstreams depending on level and engagement requirements.</li><li>Assist with delivery governance, planning, RAID management, status reporting, and stakeholder communications.</li><li>Engage with client stakeholders across IT, digital, security, finance, procurement, governance, and business leadership.</li><li>Prepare professional consulting documentation, executive materials, workshop packs, and decision papers.</li></ul><p><strong>Pursuits &amp; Thought Leadership</strong></p><ul><li>Support cloud-related RFPs and pursuits, particularly cloud strategy, CTOM, governance, value realization, and operating model sections.</li><li>Contribute to EY cloud thought leadership, whitepapers, reusable assets, accelerators, and executive materials.</li><li>Support capability building and knowledge transfer to junior team members and wider practice teams.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Key Profile Requirements / Qualifications</strong></p><ul><li>Experience in cloud strategy, IT strategy, operating model, technology advisory, or digital transformation roles.</li><li>Strong understanding of public cloud platforms including Azure, AWS, and/or GCP at architecture, governance, and operating model level.</li><li>Experience with Cloud Operating Models, Cloud CoE design, IT Target Operating Models, cloud governance, or cloud transformation programs.</li><li>Strong structured problem-solving, stakeholder management, communication, and consulting documentation skills.</li><li>Ability to support workshops, interviews, diagnostics, maturity assessments, roadmaps, and gap analysis activities.</li><li>Bachelor's degree in Computer Science, Engineering, Information Systems, Business, Management, or a related discipline.</li><li>Good written and spoken English; Arabic language capability is advantageous but not mandatory.</li></ul><p><strong>Ideally, You'll Also Have</strong></p><ul><li>Experience with FinOps, cloud cost governance, or cloud value realization.</li><li>Exposure to regulation, cybersecurity, risk, data sovereignty, or cloud compliance topics.</li><li>Experience working with GCC public sector clients or regulated industries.</li><li>Experience contributing to RFPs, proposals, client pursuits, whitepapers, or executive thought leadership.</li><li>Consulting experience with a Big 4 consultancy firm, technology advisory firm, or leading system integrator.</li></ul><p><strong>What We Look For</strong></p><p>We are looking for professionals who combine structured consulting skills, cloud advisory knowledge, stakeholder engagement capability, and a passion for helping clients drive measurable transformation through cloud-enabled operating models.</p>

<p><h4>Description</h4> <p>The data governance chief specialist owns the design and enforcement of the government-wide data governance framework — policies, standards, KPIs, and operating model. You will work directly with senior government stakeholders, lead cross-entity governance bodies, and drive measurable improvements in data quality, sharing, and management maturity at a national level.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Lead development and continuous enhancement of the government-wide data governance framework — including policies, standards, and operating model.</li> <li>Define, measure, and enforce compliance with government data policies through structured monitoring, audits, and performance tracking.</li> <li>Drive the development, rollout, and governance of government-wide data performance indices to assess and uplift data quality, sharing, and management capability across entities.</li> <li>Lead the end-to-end KPI measurement cycle: data collection, validation, scoring, and quality assurance.</li> <li>Maintain and govern the government-wide data information model — enterprise data architecture, key data domains, and relationships.</li> <li>Maintain and govern the central data catalogue, metadata, and reference data; resolve cross-entity inconsistencies and ownership conflicts.</li> <li>Promote and enable cross-entity data sharing through engagement, platform adoption, and a collaborative data culture.</li> <li>Operationalize governance bodies (data committees, working groups) for oversight, alignment, and escalation management.</li> <li>Provide strategic oversight on data-related risks and integrate with enterprise risk management.</li> <li>Engage senior stakeholders across government to align governance priorities with strategic and transformation initiatives.</li> <li>Lead continuous improvement of the internal governance team's practices and performance.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's in data management, business administration, IT, or a related field; master's preferred.</li> <li>20+ years of progressive experience in data governance, data management, information architecture, or digital transformation — with deep expertise in policy design, data modelling, and enterprise data architecture.</li> <li>Demonstrated track record establishing or scaling enterprise-level or national-scale data governance functions, including compliance and performance measurement frameworks.</li> <li>Strong working knowledge of global frameworks — DAMA-DMBOK, DCAM, ISO 8000, or equivalent.</li> <li>Hands-on experience implementing and governing data policies, standards, and operating models in complex multi-entity or multinational environments.</li> <li>Comfortable engaging C-suite, ministerial, or board-level stakeholders.</li> <li>Excellent written and spoken English; Arabic is a plus.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The data governance chief specialist owns the design and enforcement of the government-wide data governance framework — policies, standards, KPIs, and operating model. You will work directly with senior government stakeholders, lead cross-entity governance bodies, and drive measurable improvements in data quality, sharing, and management maturity at a national level.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Lead development and continuous enhancement of the government-wide data governance framework — including policies, standards, and operating model.</li> <li>Define, measure, and enforce compliance with government data policies through structured monitoring, audits, and performance tracking.</li> <li>Drive the development, rollout, and governance of government-wide data performance indices to assess and uplift data quality, sharing, and management capability across entities.</li> <li>Lead the end-to-end KPI measurement cycle: data collection, validation, scoring, and quality assurance.</li> <li>Maintain and govern the government-wide data information model — enterprise data architecture, key data domains, and relationships.</li> <li>Maintain and govern the central data catalogue, metadata, and reference data; resolve cross-entity inconsistencies and ownership conflicts.</li> <li>Promote and enable cross-entity data sharing through engagement, platform adoption, and a collaborative data culture.</li> <li>Operationalize governance bodies (data committees, working groups) for oversight, alignment, and escalation management.</li> <li>Provide strategic oversight on data-related risks and integrate with enterprise risk management.</li> <li>Engage senior stakeholders across government to align governance priorities with strategic and transformation initiatives.</li> <li>Lead continuous improvement of the internal governance team's practices and performance.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's in data management, business administration, IT, or a related field; master's preferred.</li> <li>20+ years of progressive experience in data governance, data management, information architecture, or digital transformation — with deep expertise in policy design, data modelling, and enterprise data architecture.</li> <li>Demonstrated track record establishing or scaling enterprise-level or national-scale data governance functions, including compliance and performance measurement frameworks.</li> <li>Strong working knowledge of global frameworks — DAMA-DMBOK, DCAM, ISO 8000, or equivalent.</li> <li>Hands-on experience implementing and governing data policies, standards, and operating models in complex multi-entity or multinational environments.</li> <li>Comfortable engaging C-suite, ministerial, or board-level stakeholders.</li> <li>Excellent written and spoken English; Arabic is a plus.</li> </ul></p><p></p>