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MASTER-WORKS

<div>Job Description:
The charge of creating and developing intelligent solutions using Artificial Intelligence technologies with a focus on generative AI and data science.
The role entails converting data into useful insights and developing AI powered applications that improve decision making and enhance operational efficiency.
Tools &amp; Technologies: Dataiku, Sql server, Power bi, and aws bedrock
Key Responsibilities:<ul><li>
Design, develop, train, and optimize machine learning models for real applications or use cases.</li><li>
Translate business and product requirements into scalable ML/AI solutions.</li><li>
Implement feature engineering, model selection, tuning, and evaluation techniques.</li></ul><ul><li>
Develop, and deploy ML models into production environments with high availability and performance.</li><li>
Build and maintain ML pipelines (training, validation, deployment, monitoring).</li><li>
Monitor model performance, data drift, and model decay; retrain models as needed.</li><li>
Ensure models meet reliability, scalability, and security standards.</li><li>
Work closely with Data Scientists, Product Managers, and Software Engineers.</li><li>
Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.</li><li>
Participate in design and code reviews, ensuring engineering best practices.</li><li>
Optimize models for latency, throughput, and cost.</li><li>
Implement experimentation frameworks (A/B testing, offline evaluation).</li><li>
Apply responsible AI principles, including fairness, explainability, and governance where required.</li></ul> 
Requirements 
Requirements &amp; Qualifications:<ul><li>
+4 years of hands-on experience in Machine Learning or applied AI roles.</li><li>
Strong programming skills in Python (and/or Java, Scala).</li><li>
Solid understanding of ML algorithms (supervised, unsupervised, deep learning).</li><li>
Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn.</li><li>
Experience deploying models using Docker, Kubernetes, or cloud ML services.</li><li>
Strong knowledge of data structures, algorithms, and software engineering principles.</li><li>
Experience working in agile, cross-functional teams.</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.</li><li>
Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).</li><li>
Experience with big data technologies (Spark, Kafka, Databricks).</li><li>
Background in NLP, Computer Vision, or Generative AI.</li><li>
Strong problem-solving and analytical thinking</li><li>
Production-first mindset</li><li>
Data-driven decision making</li><li>
High Collaboration and communication skills</li></ul></div>

AI Developer

Master Works

<div>
 
 Job Description:
 
 
 
 The charge of creating and developing intelligent solutions using Artificial Intelligence technologies with a focus on generative AI and data science.
 
 
 The role entails converting data into useful insights and developing AI powered applications that improve decision making and enhance operational efficiency.
 
 
 
 Tools &amp; Technologies:
 
 Dataiku, Sql server, Power bi, and aws bedrock
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, train, and optimize machine learning models for real applications or use cases
 </li>
 <li>
 Translate business and product requirements into scalable ML/AI solutions
 </li>
 <li>
 Implement feature engineering, model selection, tuning, and evaluation techniques
 </li>
 <li>
 Develop, and deploy ML models into production environments with high availability and performance
 </li>
 <li>
 Build and maintain ML pipelines (training, validation, deployment, monitoring)
 </li>
 <li>
 Monitor model performance, data drift, and model decay; retrain models as needed
 </li>
 <li>
 Ensure models meet reliability, scalability, and security standards
 </li>
 <li>
 Work closely with Data Scientists, Product Managers, and Software Engineers
 </li>
 <li>
 Collaborate with data engineering teams to ensure high-quality, reliable data pipelines
 </li>
 <li>
 Participate in design and code reviews, ensuring engineering best practices
 </li>
 <li>
 Optimize models for latency, throughput, and cost
 </li>
 <li>
 Implement experimentation frameworks (A/B testing, offline evaluation)
 </li>
 <li>
 Apply responsible AI principles, including fairness, explainability, and governance where required
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements &amp; Qualifications
 
 :
 
 
 <ul>
 <li>
 +4 years of hands-on experience in Machine Learning or applied AI roles
 </li>
 <li>
 Strong programming skills in Python (and/or Java, Scala)
 </li>
 <li>
 Solid understanding of ML algorithms (supervised, unsupervised, deep learning)
 </li>
 <li>
 Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn
 </li>
 <li>
 Experience deploying models using Docker, Kubernetes, or cloud ML services
 </li>
 <li>
 Strong knowledge of data structures, algorithms, and software engineering principles
 </li>
 <li>
 Experience working in agile, cross-functional teams
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services
 </li>
 <li>
 Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML)
 </li>
 <li>
 Experience with big data technologies (Spark, Kafka, Databricks)
 </li>
 <li>
 Background in NLP, Computer Vision, or Generative AI
 </li>
 <li>
 Strong problem-solving and analytical thinking
 </li>
 <li>
 Production-first mindset
 </li>
 <li>
 Data-driven decision making
 </li>
 <li>
 High Collaboration and communication skills
 </li>
 </ul>
</div>

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
What you&rsquo;ll build: 
This role is for a developer who builds AI solutions that reach production and operate reliably in enterprise environments. You will work with AI architects and data engineers within a growing AI practice. You will design and implement AI applications, agent-based workflows, and integrations across SAP landscapes, working from solution design through to deployment. 
What you bring: 
<ul><li>
3&ndash;5 years in software engineering, AI development, or equivalent experience delivering AI or data-driven solutions used in real environments.</li><li>
Experience building AI applications such as LLM-based solutions, RAG pipelines, or intelligent automation workflows. Familiarity with AI frameworks such as LangChain, LlamaIndex, or similar tools.</li><li>
Experience developing applications using languages commonly used in AI development. Python experience is strongly recommended. Experience with APIs, microservices, and containerisation is beneficial.</li><li>
Exposure to SAP BTP or similar enterprise cloud platforms is beneficial and will be developed on the job. /
Deep SAP platform knowledge is valuable but not the gating factor.</li></ul> 
What Success Looks Like<ul><li><div><ul><li>
AI applications operate reliably in production environments.</li><li>
Agent-based workflows support real business processes.</li><li>
Code and components are reusable across projects.</li><li>
Architecture transitions smoothly into implementation.</li><li>
Customers actively use the AI capabilities delivered.</li></ul></div></li></ul> 
Where you belong: 
AI Application Development (core focus):<ul><li><div><ul><li>
Build and deploy production-grade AI applications.</li><li>
Activate SAP Business AI capabilities and extend them with custom AI solutions where needed.</li><li>
Implement ML, GenAI, and RAG workflows for enterprise use cases.</li><li>
Containerise and deploy AI services using Docker or similar technologies.</li><li>
Build reusable AI components and accelerators.</li></ul></div></li></ul>
Agent-Based AI Development:<ul><li><div><ul><li>
Design and implement agent-based AI workflows.</li><li>
Implement orchestration patterns for multi-step or multi-agent scenarios, including MCP where relevant.</li><li>
Apply prompt engineering techniques to improve reliability and performance of LLM-based solutions.</li><li>
Evaluate and integrate open-source and proprietary LLMs.</li></ul></div></li></ul>
SAP Platform Integration:<ul><li><div><ul><li>
Integrate AI services with SAP BTP and SAP applications.</li><li>
Connect AI solutions with enterprise data platforms and cloud environments where required.</li></ul></div></li></ul>
Engineering and Model Lifecycle:<ul><li><div><ul><li>
Implement pipelines supporting testing, deployment, and operation of AI services.</li><li>
Contribute to monitoring, versioning, and lifecycle management of AI solutions.</li><li>
Maintain clean, maintainable code and documentation.</li></ul></div></li></ul><div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 448415 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 90% | Career Status: Professional | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid</div>

AI Developer (One-Year Fixed Term contract)

<div>Design, develop, and deploy Arabic-first Large Language Model (LLM) solutions to support AI-driven products and client projects, ensuring high-quality Arabic language understanding, generation, and contextual accuracy across enterprises.
Key Responsibilities1. LLM Development &amp; NLP (Core)<ul><li>
Design and fine-tune LLMs for Arabic language tasks
</li><li><ul><li>Text generation, classification, summarization
</li><li>Arabic grammar correction, dialect handling
</li></ul></li><li>Build and optimize RAG pipelines
</li><li>Develop prompt engineering strategies for Arabic + English contexts
</li></ul>2. Data &amp; Arabic Language Engineering<ul><li>
Build and curate Arabic datasets
</li><li>Handle:
</li><li><ul><li>Dialects (Gulf, MSA, etc.)
</li><li>Data cleaning, normalization
</li></ul></li><li>Define evaluation benchmarks for Arabic LLM quality
</li></ul>3. AI System Architecture<ul><li>
Develop LLM-powered systems using:
</li><li><ul><li>LangChain / LangGraph / Llama / OpenAI APIs
</li><li>Vector databases (ChromaDB, FAISS, etc.)
</li></ul></li><li>Integrate LLMs into:
</li><li><ul><li>APIs
</li><li>Enterprise systems
</li><li>AI agents / copilots
</li></ul></li></ul>4. Production &amp; MLOps<ul><li>
Deploy scalable AI systems using:
</li><li><ul><li>Docker, Kubernetes
</li><li>Cloud platforms (Azure, AWS, GCP)
</li></ul></li><li>Optimize:
</li><li><ul><li>Latency
</li><li>Cost
</li><li>Throughput
</li></ul></li></ul>5. Cross-functional Collaboration<ul><li>
Work with:
</li><li><ul><li>PMs (scope, delivery, timelines)
</li><li>BAs (requirements translation AI logic)
</li><li>QA (model validation &amp; test cases)
</li></ul></li><li>Support client demos and AI solution design
</li></ul>6. Governance Alignment (Critical for Nabeh)<ul><li>
Ensure:
</li><li><ul><li>AI outputs align with client expectations
</li><li>Traceability (data model output)
</li></ul></li><li>Support:
</li><li><ul><li>BRD validation (AI feasibility)
</li><li>UAT and acceptance criteria</li></ul></li></ul> 

Requirements 
 
Required SkillsTechnical<ul><li>
Strong in:
</li><li><ul><li>Python (PyTorch / TensorFlow)
</li><li>NLP &amp; LLMs (Transformers, RAG)
</li></ul></li><li>Experience with:
</li><li><ul><li>LangChain / LLM frameworks
</li><li>Vector databases
</li><li>Prompt engineering
</li></ul></li></ul>Arabic AI (Mandatory)<ul><li>
Native or fluent Arabic
</li><li>Experience in:
</li><li><ul><li>Arabic NLP
</li><li>Dataset preparation for Arabic
</li><li>Handling dialects
</li></ul></li></ul>Engineering &amp; Deployment<ul><li>
APIs (FastAPI / Flask)
</li><li>Microservices architecture
</li><li>Docker, Kubernetes
</li><li>CI/CD pipelines</li></ul>
Language Requirements<ul><li>
Arabic: Native / Fluent (MANDATORY)
</li><li>English: Professional (MANDATORY)
</li></ul>Preferred Qualifications<ul><li>
MSc or higher in AI / Data Science / NLP
</li><li>Experience in:
</li><li><ul><li>Arabic LLMs (high priority)
</li><li>Government or enterprise AI projects
</li></ul></li><li>Certifications:
</li><li><ul><li>Azure AI / ML
</li><li>MLOps / Cloud certifications</li></ul></li></ul></div>

LLM Engineer - Arabic Speaker

Sadat Consulting

Sen your CV across mohammed.sadatgac@gmail.com with below details1. Notice period 2. Current salary 3. Expected salary 4. Do you have Transferable IQAMARole Purpose Develop AI-enabled automation aligned with roadmap including automation workflows, AIassisted reporting, anomaly detection, and enterprise AI integration patterns.Key Responsibilities<ul><li>Develop automation pipelines and workflow automations</li><li>Integrate enterprise AI services (LLM APIs, automation endpoints)</li><li>Develop anomaly detection logic and operational intelligence rules</li><li>Build AI-assisted reporting components aligned with dashboards</li><li>Maintain AI/automation documentation and reproducibility</li><li>Ensure governance-aligned AI implementation (approval where required)</li><li>Support integration of AI outputs into enterprise apps (Frappe, dashboards)</li></ul>Mandatory Technical Requirements<ul><li>Python (ML/automation stack)</li><li>Experience integrating enterprise AI APIs</li><li>Familiarity with RAG architecture concepts</li><li>Automation frameworks and scripting (job scheduling, pipelines)</li><li>Strong integration skills (API-based orchestration)</li></ul>Minimum Experience<ul><li>8+ years experience</li><li>Proven delivery of AI/automation in enterprise environments</li></ul>Job Types: Full-time, PermanentWork Location: In person

AI Automation (LLMs, RAG) Engineer

Qiddiya Investment Company

<div>Qiddiya Investment Company is excited to announce a new opportunity for an Assistant Manager - Data &amp; AI Architect. In this pivotal role, you will be at the forefront of integrating advanced data management and artificial intelligence solutions to support our innovative projects and initiatives. You will work closely with cross-functional teams to design and implement cutting-edge data architectures that leverage AI technologies, driving data-driven decision-making and enhancing user experiences.
Your expertise in data strategy, architecture design, and AI applications will be instrumental in harnessing the power of data to unlock insights and create enhanced value across our organization.
Responsibilities<ul>
<li>Design and implement robust data architectures that effectively integrate data management and AI technologies.</li>
<li>Develop and oversee the deployment of AI models and analytics solutions to support operational efficiencies and predictive analytics.</li>
<li>Collaborate with business units to identify opportunities for leveraging AI to enhance business processes and customer experiences.</li>
<li>Ensure data governance and security measures are in place for AI models and data solutions.</li>
<li>Conduct regular assessments of technology trends to inform strategic data and AI direction.</li>
<li>Mentor and provide technical leadership to the data and analytics teams, fostering a culture of innovation and continuous improvement.</li>
<li>Develop standards and best practices for data architecture and AI implementation across projects.</li>
<li>Coordinate with IT infrastructure teams to ensure that data environments are optimized for analytics and AI workloads.</li>
<li>Work with data scientists and analysts to translate business needs into functional AI solutions.</li>
<li>Monitor and evaluate AI solution performance and make adjustments as necessary to enhance effectiveness.</li>
<li>Facilitate training sessions on data management and AI integration for relevant stakeholders.</li> 
</ul> 
 
Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
</li><li>Minimum of 4 years of experience in data architecture, data engineering, or AI development roles.
</li><li>Strong expertise across the enterprise data, analytics, and AI platform landscape, with hands-on experience across the full technology stack including modern architectures and best practices.
</li><li>Proven ability to lead end-to-end architecture and solution design, and to build scalable, enterprise-grade data platforms for large, complex organizations</li></ul></div>

Assistant Manager - Data & AI Architect

Cognizant

<div>00068342221
<ul><li>Date published Apr 27 2026
</li><li>Location Riyadh / Saudi Arabia
</li><li>Job category Technology &amp; Engineering
</li><li>Work model Work from Office
</li></ul><div><div><div><div>Job Summary
We are seeking a versatile and highly skilled AI Expert to join our innovative team. This role requires a unique blend of expertise in Large Language Models (LLMs) on the Azure platform and the application of AI in 3D modeling. The ideal candidate will be a creative technologist passionate about pushing the boundaries of generative AI, from developing intelligent Copilot agents to creating immersive 3D worlds. You will be responsible for designing, developing, and deploying cutting-edge AI solutions that span conversational AI and advanced 3D content generation.
Key Responsibilities<ul><li>
Holistic AI Solution Design: Architect and implement end-to-end AI solutions that leverage the full spectrum of generative AI, including both language and visual modalities. 
</li><li>Conversational &amp; Agentic AI:<ul><li>
Design and develop sophisticated conversational AI agents using Microsoft Copilot Studio and the Azure AI ecosystem (including Azure OpenAI Service).</li><li>
Build and implement LLM-based applications, leveraging frameworks like LangChain for complex Retrieval-Augmented Generation (RAG) and agentic workflows.</li>
Integrate AI agents with enterprise data sources (e.g., <li>Point, SQL Server) and automate business processes using Power Automate.</li></ul></li><li>
AI for 3D Modeling:<ul><li>
Utilize and develop AI-powered tools to assist, automate, and enhance the creation of high-quality 3D models.</li><li>
Design, implement, and train large-scale generative models (e.g., diffusion models) for generating 3D assets and environments from text or 2D images.</li><li>
Create and manage scalable data pipelines for large, unstructured, multi-modal data sources (text, images, 3D models) to fuel machine learning initiatives.</li></ul></li><li>
MLOps &amp; Collaboration:<ul><li>
Take ownership of the full lifecycle of ML models, including deployment, containerization, CI/CD, and performance monitoring.</li><li>
Collaborate closely with business stakeholders, designers, and research teams to translate product requirements into a cohesive technical roadmap.</li></ul></li></ul>
Qualifications<ul><li>
Experience: 5+ years of hands-on experience in AI/ML engineering or data science, with a proven track record of building and deploying complex AI solutions.</li><li>
Core Technical Skills:<ul><li>
Proficiency in Python and common ML/DL libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
Strong experience with the Azure AI/Data ecosystem, particularly Azure Machine Learning and Azure OpenAI Service.</li></ul></li><li>
Generative AI Expertise:<ul><li>
Hands-on experience with Microsoft Copilot Studio and building conversational agents.</li><li>
Experience with generative models (GANs, Diffusion Models, LLMs) is a significant plus.</li></ul></li><li>
3D Modeling Skills:<ul><li>
A strong portfolio showcasing 3D modeling work is highly desirable.</li><li>
Familiarity with 3D modeling software (e.g., Blender, Maya, ZBrush) and computational geometry is a plus.</li></ul></li><li>
Education: Bachelor's or Master's degree in Computer Science, Engineering, Graphic Design, or a related technical discipline.
</li></ul>The Cognizant community:
 
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
<ul>
<li>Cognizant is a global community with more than 300,000 associates around the world.</li>
<li>We don&rsquo;t just dream of a better way &ndash; we make it happen.</li>
<li>We take care of our people, clients, company, communities and climate by doing what&rsquo;s right.</li>
<li>We foster an innovative environment where you can build the career path that&rsquo;s right for you.</li>
</ul>
About us:
 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization&rsquo;s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersIndia2@cognizant.com with your request and contact information.

Disclaimer:
 
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. 
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Microsoft Azure - AI

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AI Developer

AI Developer

AI Developer (One-Year Fixed Term contract)

LLM Engineer - Arabic Speaker

AI Automation (LLMs, RAG) Engineer

Assistant Manager - Data & AI Architect

Microsoft Azure - AI