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Siemens Digital Industries Software

<div>
 
 
 FA Industrial Copilot for Operations &ndash; Product
 
 
 Creator
 
 
 Team &ldquo;DI FA ICP OPS PRC 1&rdquo;
 
 , is seeking
 
 3 AI/ML Engineers (fresh graduate, 1+, and 3+)
 
 for
 
 contractor positions
 
 to join the team in Cairo, Egypt.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Build AI prototypes and turn them into scalable solutions.
 </li>
 <li>
 Leverage Agentic AI frameworks to build autonomous intent-based pipelines.
 </li>
 <li>
 Build, test, and integrate vision models into end-to-end workflows.
 </li>
 <li>
 Create and run model evaluation suites to measure model's accuracy and performance.
 </li>
 <li>
 Collaborate with cross functional teams to translate innovations into AI driven solutions.
 </li>
 <li>
 Stay current with emerging AI tools, libraries, and best practices.
 </li>
 <li>
 Become a technical innovation champion.
 </li>
 </ul>
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S./M.S. in Computer Science, Computer Engineering, or a related field.
 </li>
 <li>
 Hands-on experience taking AI prototypes from concept to production grade systems.
 </li>
 <li>
 Strong Python programming skills with the ability to write asynchronous, high throughput code.
 </li>
 <li>
 Experience using cloud and/or open-source Language Models (OpenAI, HuggingFace, ...).
 </li>
 <li>
 Experience using Agentic AI frameworks (Langchain, LlamaIndex, ...).
 </li>
 <li>
 Hands-on experience with building, testing, deploying Computer Vision models using (Tensorflow, PyTorch, ...).
 </li>
 <li>
 Work with Git, automated testing, and CI/CD pipelines.
 </li>
 <li>
 Familiarity with cloud providers (Azure, AWS) and their services.
 </li>
 <li>
 Familiarity with container building and orchestration (Docker, Kubernetes, ...).
 </li>
 <li>
 Hands on experience with model and workflow evaluation frameworks is huge a plus.
 </li>
 <li>
 Experience with Typescript is a plus.
 </li>
 </ul>
 
 
 
 
 
 
 
 If you are interested or know someone interested, please send the resume to hiring.fa.eg@siemens.com with subject &ldquo;
 
 AIML-Feb-26
 
 &ldquo;.
 
</div>

AI/ML Engineer

Deloitte

<div>
 
 Deloitte Innovation Hub | AI &amp; Data | Senior AI / ML Engineer, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity.
 
 
 
 We are seeking committed new talent to join our AI &amp; Data team. Our goal is to work together with our clients to drive innovation and insight from their data, using cutting edge Data Science and Machine Learning techniques alongside Digital Transformation.
 
 
 As a Senior AI/ML Engineer in our team, you will:
 
 
 <ul>
 <li>
 Apply data science and machine learning techniques creatively to solve complex problems.
 </li>
 <li>
 Research and develop innovative solutions.
 </li>
 <li>
 Stay abreast in new machine learning techniques and data technologies.
 </li>
 <li>
 Participate in all phases of the data science lifecycle from PoC to fully tested productionized solutions.
 </li>
 <li>
 Prepare technical documentation.
 </li>
 <li>
 Ensure high-quality delivery of key parts of our engagements working with our senior data scientists.
 </li>
 <li>
 Suggest practical solutions to clients and work to implement these solutions as a part of larger project teams.
 </li>
 <li>
 Assist in the crafting of responses to client proposal requests and in pitching data science projects to client.
 
 
 </li>
 </ul>
 
 Client Engagement
 
 
 
 Your Tasks would include
 
 :
 
 
 
 <ul>
 <li>
 Engage with clients to understand their pain points and requirements.
 </li>
 <li>
 Communicate solutions/propositions effectively back to client/team.
 
 
 </li>
 </ul>
 
 Data Analysis And Pre-processing
 
 
 
 <ul>
 <li>
 Collect and clean large datasets for machine learning projects.
 </li>
 <li>
 Explore data to identify patterns, anomalies, and potential insights.
 </li>
 <li>
 Pre-process data, including feature engineering and normalization.
 
 
 </li>
 </ul>
 
 Algorithm Development
 
 
 
 <ul>
 <li>
 Design, develop, and implement machine learning algorithms.
 </li>
 <li>
 Experiment with various machine learning models and techniques.
 </li>
 <li>
 Optimize algorithms for accuracy, efficiency, and scalability.
 
 
 </li>
 </ul>
 
 Model Training And Evaluation
 
 
 
 <ul>
 <li>
 Train machine learning models using collected data.
 </li>
 <li>
 Perform testing to validate models.
 </li>
 <li>
 Evaluate model performance using appropriate metrics and techniques.
 </li>
 <li>
 Fine-tune models to improve predictive accuracy.
 
 
 </li>
 </ul>
 
 Data Visualization
 
 
 
 <ul>
 <li>
 Create informative data visualizations to communicate insights effectively.
 </li>
 <li>
 Work with visualization libraries like Matplotlib, Seaborn, or data visualization software&rsquo;s like Tableau, PowerBI.
 
 
 </li>
 </ul>
 
 Connect To Your Skills And Professional Experience.
 
 
 
 You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.
 
 
 
 Essentials
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Engineering or equivalent
 </li>
 <li>
 3-7 years of experience in Data Science and AI/ML
 </li>
 <li>
 Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.
 </li>
 <li>
 Data proficiency: Proficient in data collection, pre-processing, and analysis.
 </li>
 <li>
 Model Mastery: Proven experience in developing and fine-tuning machine learning models.
 
 
 </li>
 </ul>
 
 Desirables
 
 
 
 <ul>
 <li>
 Familiarity with deploying ML frameworks in industry.
 </li>
 <li>
 A strong interest in staying abreast of the latest AI/ML advancements.
 </li>
 <li>
 Project Leadership: Previous experience leading AI/ML initiatives.
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology and Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
</div>

Deloitte Innovation Hub I Senior AI/ ML Engineer, Cairo, Egypt

HireOn

<div>
 
 Lead Data Scientist &ndash; GenAI (Generative AI)
 
 
 
 Experience: 10+ Years
 
 
 Location: Cairo, Egypt (onsite;
 
 in-office job
 
 )
 
 
 Employment Type: Full-Time
 
 
 
 About The Role
 
 
 
 Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE and Asian region, is hiring
 
 high-caliber Lead Generative AI Engineers.
 
 
 
 This role is ideal for someone who has
 
 10+ years
 
 of software engineering and AI/ML experience and is now focused on
 
 tool-using LLMs, LangChain, AutoGPT, or similar frameworks
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and architecture of AI-powered enterprise solutions.
 </li>
 <li>
 Drive technical decisions across infrastructure, databases, APIs, microservices, and AI components.
 </li>
 <li>
 Deploy LLMs and GenAI applications in production environments.
 </li>
 <li>
 Provide guidance on prompt engineering, Chain-of-Thought, and advanced AI/ML techniques.
 </li>
 <li>
 Integrate AI/ML models with enterprise systems for high performance and scalability.
 </li>
 <li>
 Mentor and manage technical teams, ensuring knowledge transfer and best practices.
 </li>
 <li>
 Lead AI/ML projects from conceptualization to delivery, including cloud and hybrid deployments.
 </li>
 <li>
 Lead multi-agent systems, and RAG workflow implementations.
 
 
 </li>
 </ul>
 
 Technical Requirements
 
 
 
 <ul>
 <li>
 GenAI Expertise: Hands-on experience with LLM fine-tuning and production deployment.
 </li>
 <li>
 AI/ML &amp; Enterprise Architecture: Experience in Python, TensorFlow, PyTorch, full-stack development, Kubernetes, SQL/NoSQL databases, APIs, and microservices.
 
 
 </li>
 </ul>
 Skills: langchain,autogpt,prompt engineering,ai application development,openai,llama2,vector databases,llm frameworks,gemini,embedding models,agentic ai,generative ai,semantic kernel,rag,crewai,agents
</div>

Lead Data Scientist - AI/ML (Generative AI)

700apps

<div>
 We are looking for a highly skilled
 
 Senior AI Engineer / AI Architect
 
 to lead the design, development, and deployment of scalable AI solutions.
 
 
 In this role, you will combine hands-on model development with high-level system architecture to help shape our AI strategy and deliver production-ready intelligent systems.
 
 
 You will work closely with engineering, product, and leadership teams to transform business needs into powerful AI-driven solutions.
 
 
 
 Key Responsibilities
 
 
 
 AI Architecture &amp; System Design
 
 
 <ul>
 <li>
 Design end-to-end AI/ML system architecture from data ingestion to deployment and monitoring.
 </li>
 <li>
 Define scalable and reliable ML pipelines.
 </li>
 <li>
 Select the appropriate tools, frameworks, and infrastructure.
 </li>
 <li>
 Ensure performance, security, scalability, and maintainability of AI systems.
 </li>
 <li>
 Design APIs and AI services for integration with products and platforms.
 
 
 </li>
 </ul>
 Model Development
 
 
 <ul>
 <li>
 Develop, train, and fine-tune machine learning and deep learning models.
 </li>
 <li>
 Work on advanced AI solutions such as LLMs, NLP systems, or computer vision models.
 </li>
 <li>
 Optimize models for accuracy, speed, and cost efficiency.
 </li>
 <li>
 Conduct experiments and evaluate model performance using best practices.
 
 
 </li>
 </ul>
 MLOps &amp; Deployment
 
 
 <ul>
 <li>
 Build and maintain CI/CD pipelines for machine learning workflows.
 </li>
 <li>
 Deploy models to production using containers and cloud services.
 </li>
 <li>
 Implement monitoring, logging, and automated retraining processes.
 </li>
 <li>
 Manage model lifecycle, versioning, and performance tracking.
 
 
 </li>
 </ul>
 Technical Leadership
 
 
 <ul>
 <li>
 Provide technical leadership to AI engineers and data scientists.
 </li>
 <li>
 Review code and guide best practices in AI development.
 </li>
 <li>
 Collaborate with cross-functional teams to align AI solutions with business goals.
 </li>
 <li>
 Contribute to technical strategy and AI roadmap planning.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 7+ years of experience in AI / Machine Learning engineering.
 </li>
 <li>
 Strong programming skills in Python.
 </li>
 <li>
 Hands-on experience with PyTorch or TensorFlow.
 </li>
 <li>
 Experience working with LLMs and modern AI frameworks.
 </li>
 <li>
 Strong understanding of system design and scalable architectures.
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Familiarity with MLOps tools such as MLflow, Airflow, or similar.
 </li>
 <li>
 Solid understanding of data pipelines and data engineering concepts.
 </li>
 </ul>
</div>

AI Architect

Talent 360 ME

<div>
 
 Wind Integrated Solutions, Oracle Partner
 
 
 in Egypt, KSA &amp; UAE
 
 is looking for "AI &amp; Data Engineer " with a strong foundation in data manipulation, machine learning, and natural language processing (NLP).
 
 
 Wind Integrated Solutions is Software Development Company that provides technology services, business automation, and business digitalization.
 
 
 
 Job Requirements:
 
 
 
 <ul>
 <li>
 BSc in Computer Science, Engineering or relevant field.
 </li>
 <li>
 2-4 years of hands-on experience in data engineering, data architecture, or AI/ML presales.
 </li>
 <li>
 Understanding of modern data stack: data warehouses, data lakes, ETL/ELT pipelines, data governance
 </li>
 <li>
 Familier with data services (Azure Data Factory, Synapse, Microsoft Fabric, Purview or similar )
 </li>
 <li>
 Familiarity with AI/ML concepts and practical applications in enterprise settings
 </li>
 <li>
 Experience creating data architecture diagrams and technical documentation
 </li>
 <li>
 Excellent presentation and storytelling skills, capable of translating technical concepts for executive audiences
 </li>
 <li>
 English and Arabic fluency
 
 
 
 </li>
 </ul>
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Lead technical discovery and data maturity assessments with enterprise customers across Saudi Arabia and Egypt
 </li>
 <li>
 Design and present data platform architectures using modern tools (Microsoft Fabric, Azure Data Services, OpenMetadata, SQLMesh)
 </li>
 <li>
 Create compelling business cases that connect data governance and AI capabilities to measurable business outcomes
 </li>
 <li>
 Develop technical proposals, solution architectures, and pricing models for data and AI engagements
 </li>
 <li>
 Deliver demonstrations of AI agent workflows, agentic automation, and conversational data access patterns
 </li>
 <li>
 Support Microsoft co-sell motions for Azure AI, Microsoft Fabric, and Copilot-related opportunities
 </li>
 <li>
 Collaborate with the Product Developer to align presales demonstrations with current product capabilities
 </li>
 <li>
 Contribute to thought leadership content: whitepapers, case studies, and technical blog posts
 </li>
 <li>
 Track competitive landscape across data governance and AI platforms (Informatica, Collibra, Databricks, Coalesce)
 
 
 
 </li>
 </ul>
 
 Company Industry
 
 : Information Technology Services
 
 
 
 Company website:
 
 https://www.wind-is.com
 
 
 
 Location:
 
 Maadi - Cairo
 
 
 
 Working Hours:
 
 9:00 AM to 5:00 PM.
 
 
 
 Working Days:
 
 From Sun to Thu.
 
 
 
 Benefits:
 
 Attractive salary - Social &amp; Medical insurance - Friendly Environment - Learning &amp; Development Opportunities - Other benefits
 
 
 Apply now to drive innovation and growth with our dynamic team!
</div>

Midlevel AI & Data Engineer

Siemens

<div>
 
 About Brightly
 
 
 
 Brightly is a global leader in intelligent, cloud‑based asset lifecycle management, empowering 12,000+ clients with predictive insights to optimize maintenance, energy, and capital planning&mdash;backed by Siemens. Our products help schools, hospitals, cities, and manufacturers keep critical infrastructure running efficiently and sustainably.
 
 
 
 The Opportunity
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development&mdash;from prototype to production&mdash;on AWS. You&rsquo;ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly&rsquo;s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency, cost, and quality. (Guided by current LLM engineer role practices.)
 </li>
 <li>
 Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and continuous improvement of models and prompts.
 </li>
 <li>
 Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock, EMR, MSK, Step Functions; apply observability (CloudWatch/OpenTelemetry) and cost controls. (Duties aligned to modern AWS ML roles.)
 </li>
 <li>
 Scale training &amp; inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
 </li>
 <li>
 MLOps &amp; governance: Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls. (Aligned with contemporary MLOps templates.)
 </li>
 <li>
 Partner across Brightly: Translate asset‑management use cases into ML/LLM solutions; collaborate with product managers and UX to ship customer‑visible features that measurably improve reliability, safety, and sustainability.
 </li>
 <li>
 Mentor &amp; lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) on structured, semi‑structured, and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.
 
 
 </li>
 </ul>
 (Consistent with ML engineer responsibilities to analyze data before model development.)
 
 
 <ul>
 <li>
 Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Required experience
 
 
 
 <ul>
 <li>
 8&ndash;10 years total software/ML engineering experience, with 5+ years building and operating ML systems in production.
 </li>
 <li>
 1+ years hands‑on LLM application development (e.g., RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using packages such as Langchain and Langgraph.
 </li>
 <li>
 AWS proficiency (3+ years): Strong with core services (EKS/ECS, Lambda, S3, DynamoDB/RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS). (Representative AWS ML role skills.)
 </li>
 <li>
 Modeling &amp; frameworks: Python, PyTorch, Hugging Face ecosystem; vector stores (e.g., OpenSearch, PGVector, Pinecone), embeddings, retrieval, and evaluation metrics for NLP/LLMs. (In line with senior LLM roles.)
 </li>
 <li>
 MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
 </li>
 <li>
 Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
 </li>
 <li>
 Exposure to sustainability/asset/intelligent operations domains.
 </li>
 <li>
 Familiarity with security &amp; compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)
 
 
 </li>
 </ul>
 
 How You&rsquo;ll Work
 
 
 
 <ul>
 <li>
 Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
 </li>
 <li>
 Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
 </li>
 <li>
 Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS/EE/Math or related field (Master&rsquo;s preferred) or equivalent practical experience. (Typical for senior ML roles.)
 
 
 </li>
 </ul>
 Join a mission‑driven team building technology that keeps communities running&mdash;safer, greener, and more resilient&mdash;at global scale. You&rsquo;ll pair startup‑speed product work with the reach and rigor of Siemens.
 
 
 
 The Brightly culture
 
 
 
 We&rsquo;re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
</div>

Principal Machine Learning Engineer

Explore 222+ Ai ml engineer in Cairo this March. Find roles across top companies and apply now to boost your career.

222 ai ml engineer jobs In Cairo

AI/ML Engineer

Deloitte Innovation Hub I Senior AI/ ML Engineer, Cairo, Egypt

Lead Data Scientist - AI/ML (Generative AI)

Lead Data Scientist - AI/ML (Generative AI)

AI Architect

Midlevel AI & Data Engineer

Principal Machine Learning Engineer