data engineer

ai & automation engineer, light Jobs in Cairo

ai & automation engineer, light

ai engineer, light

ai platform engineer

data scientist

machine learning 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>
 5&ndash;7 years total software/ML engineering experience, with 3+ 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>

Senior Machine Learning Engineer

Intellias

<div>
 
 
 MLOps Engineer
 
 
 
 We have a dream: to change industries through the power of digital technology. At Intellias, you will work with top-tier engineers to build and deploy cutting-edge machine learning solutions that bring AI models into real-world production at scale.
 
 
 You will join a dynamic team focused on designing and maintaining robust MLOps infrastructure for deploying and managing ML/AI systems across cloud environments, enabling the next generation of intelligent products.
 
 
 
 Requirements
 
 
 <ul>
 <li>
 5+ years of experience in
 
 MLOps, ML engineering, or similar roles
 
 </li>
 <li>
 Master&rsquo;s or higher degree in Computer Science or related field
 </li>
 <li>
 Strong experience in
 
 Computer Vision, NLP, or Generative AI
 
 </li>
 <li>
 Advanced programming skills in
 
 Python or Rust
 
 </li>
 <li>
 Experience building
 
 scalable ML pipelines
 
 (training, validation, deployment)
 </li>
 <li>
 Hands-on experience with
 
 AWS / Azure / GCP
 
 </li>
 <li>
 Experience with
 
 Kubernetes, Docker, and CI/CD
 
 </li>
 <li>
 Knowledge of
 
 Kubeflow, Airflow, Argo, or similar orchestration tools
 
 </li>
 <li>
 Experience with
 
 model registries and feature stores
 
 </li>
 <li>
 Experience deploying DL models using
 
 PyTorch or TensorFlow
 
 </li>
 <li>
 Experience building
 
 REST APIs (FastAPI or similar)
 
 </li>
 <li>
 Experience with
 
 GenAI agents (LangChain or similar)
 
 and LLM evaluation/observability
 </li>
 <li>
 Knowledge of
 
 Infrastructure as Code (Terraform)
 
 </li>
 <li>
 Strong communication and collaboration skills
 </li>
 </ul>
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience deploying LLMs on-prem
 </li>
 <li>
 GCP ML Engineer certification
 </li>
 <li>
 Industry experience in retail, finance, healthcare, telecom, energy, or manufacturing
 </li>
 <li>
 Experience with data science projects
 </li>
 </ul>
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Lead and support technical POCs and ML projects
 </li>
 <li>
 Design and improve MLOps architectures following best practices
 </li>
 <li>
 Support discovery phases and technical consulting
 </li>
 <li>
 Collaborate on presales and upsales activities
 </li>
 <li>
 Contribute to knowledge sharing and public speaking initiatives
 </li>
 </ul>
 
 
 Why Join Us
 
 
 
 At Intellias, people come first. We foster a culture where innovation thrives, enabling engineers to work on impactful AI solutions while continuously growing their expertise in a supportive and forward-thinking environment.
 
</div>

Machine Learning Ops Engineer

<div>
 Siemens Digital Industries Software is a global technology powerhouse. With some of the best-known brands in the world, Siemens has stood for engineering excellence, innovation, quality, and reliability for more than 175 years.
 
 
 The
 
 Calibre SONR
 
 team is seeking an experienced
 
 Senior Software Engineer/Technical Lead
 
 to join our team in Cairo, Egypt.
 
 
 
 Calibre SONR
 
 seamlessly integrates machine learning models with the core Calibre architecture to enhance the productivity and precision of fab defect detection and diagnostics. This role offers a truly global scope and provides the opportunity to drive continuous improvement in one of our most critical services.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and implement software for both internal and external products, exceeding customer expectations with a focus on quality and on-time delivery.
 </li>
 <li>
 Ensure the overall functional quality of released products across all platforms and environments.
 </li>
 <li>
 Lead major projects within the product area, providing technical guidance and promoting innovation.
 </li>
 <li>
 Consult with customers on future upgrades and products, influencing technical direction.
 </li>
 <li>
 Provide high-level technical expertise, including in-depth software systems programming and analysis.
 </li>
 <li>
 Mentor junior engineers, demonstrating independence and strong technical leadership.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Computer Engineering, or a related field.
 </li>
 <li>
 5+ years of experience in software development, with a specialization in data analysis and machine learning.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, or C++.
 </li>
 <li>
 Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Strong understanding of data structures, algorithms, and software design principles.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication skills, with the ability to present ideas and share knowledge effectively.
 
 
 </li>
 </ul>
 We&rsquo;re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme and generous holiday allowance.
 
 
 Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access and equal opportunity.
</div>

Senior Software Engineer

YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
 </li>
 <li>
 Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
 </li>
 <li>
 Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
 </li>
 <li>
 Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
 </li>
 <li>
 Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
 </li>
 <li>
 Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
 </li>
 <li>
 Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
 </li>
 <li>
 Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
 </li>
 <li>
 Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
 </li>
 <li>
 Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
 </li>
 <li>
 Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
 </li>
 <li>
 Exceptional written and verbal communication skills for effective collaboration and documentation.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
 </li>
 <li>
 Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
 </li>
 <li>
 Prior exposure to government or highly regulated cloud environments and compliance standards.
 </li>
 </ul>
</div>

AI/ML Engineer - Remote

Finaira

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 
 
 
 Focus:
 
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineer
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
 </li>
 <li>
 Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
 </li>
 <li>
 Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
 </li>
 <li>
 Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
 </li>
 <li>
 Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Principal AI Engineer

Al Ahly Momkn

<div>
 A subsidiary of Al Ahly Capital, Al Ahly Momkn is a fast-evolving Fin-tech company committed to promoting secure, convenient &amp; seamless payment solutions and financial services for business owners, service providers and consumers across Egypt.
 
 
 At Al Ahly Momkn, we foster a culture of innovation, collaboration, and personal growth.
 
 
 
 We believe in empowering our employees to unleash their full potential and make a real impact in their roles. As part of our team, you'll have the opportunity to work on exciting projects, learn from industry experts, and be part of a supportive and inclusive community.
 
 
 
 1- Data Collection &amp; Preparation:
 
 <ul>
 <li>
 Collect, clean, and pre process data from various sources to support analysis and modeling activities.
 
 </li>
 <li>
 Ensure datasets are structured, reliable, and ready for exploratory and predictive analysis.
 
 </li>
 <li>
 Support data quality checks and assist in improving data consistency.
 
 
 </li>
 </ul>
 2- Exploratory Data Analysis (EDA):
 
 <ul>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, anomalies, and key business insights.
 
 </li>
 <li>
 Assist in interpreting customer behavior and performance metrics across fin-tech products and services.
 
 </li>
 <li>
 Provide analytical summaries to support decision-making.
 
 
 </li>
 </ul>
 3- Predictive Modeling &amp; Machine Learning Support:
 
 <ul>
 <li>
 Assist in developing, testing, and evaluating predictive models and machine learning solutions.
 
 </li>
 <li>
 Support feature engineering and model validation processes.
 
 </li>
 <li>
 Measure model performance using appropriate evaluation metrics.
 
 
 </li>
 </ul>
 4- Visualization &amp; Reporting
 
 <ul>
 <li>
 Create dashboards, visualizations, and reports to communicate insights effectively.
 
 </li>
 <li>
 Present findings in a clear format tailored for both technical and non-technical audiences.
 
 </li>
 <li>
 Contribute to creating recurring performance reporting and ad-hoc analytics outputs
 
 
 </li>
 </ul>
 5- Cross-Functional Collaboration
 
 <ul>
 <li>
 Collaborate with Product, Tech, Operations, and other business stakeholders to translate business questions into analytical solutions.
 
 </li>
 <li>
 Support the development of data-driven recommendations and actionable insights.
 
 </li>
 <li>
 Participate in meetings and discussions to align analysis with business priorities.
 
 
 </li>
 </ul>
 6- Documentation &amp; Continuous Improvement
 
 <ul>
 <li>
 Document workflows, methodologies, and analytical processes to ensure clarity and reproducibility.
 
 </li>
 <li>
 Stay up to date with data science tools, techniques, and industry best practices.
 
 </li>
 <li>
 Suggest improvements to existing analytical approaches when relevant.
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 
 </li>
 <li>
 0-3 Years of Experience in Data Science or similar role.
 
 </li>
 <li>
 Proficiency in Python/R, SQL, and familiarity with visualization tools.
 
 </li>
 <li>
 Understanding of basic machine learning algorithms and statistical methods.
 
 </li>
 <li>
 Strong analytical and problem‑solving skills with an eagerness to learn.
 
 </li>
 <li>
 Good communication skills to explain findings to both technical and non‑technical audiences.
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 <ul>
 <li>
 Embark on an exciting journey with the Fin-Tech Experts.
 
 </li>
 <li>
 Join a workplace that actively encourages and supports all talents.
 
 </li>
 <li>
 A support system where you have a safe place to voice your opinion, share feedback, and be your true authentic self.
 
 </li>
 <li>
 Join us in our mission to accelerate financial inclusion and make financial freedom accessible to all.
 
 </li>
 </ul>
</div>

Data Scientist

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Scientist II
 
 to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges
 </li>
 <li>
 Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement
 </li>
 <li>
 Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact
 </li>
 <li>
 Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions
 </li>
 <li>
 Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 </ul>
 <ul>
 <li>
 2-4 years of experience as a Data Scientist or in a similar analytical role
 </li>
 <li>
 Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
 </li>
 <li>
 Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports
 </li>
 <li>
 Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences
 </li>
 </ul>
</div>

Data Scientist II

Explore 297+ Machine learning engineer in Cairo this April. Find roles across top companies and apply now to boost your career.