ai ml 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

Capgemini

<div>
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Design and implement Agentic AI solutions and applications.
 </li>
 <li>
 Lead the end-to-end lifecycle of machine learning and data science delivery engagements, from data ingestion and feature engineering to model training, evaluation, and deployment.
 </li>
 <li>
 Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.
 </li>
 <li>
 Architect and optimize scalable data pipelines and cloud-based infrastructures (Azure, AWS, GCP) to support ML workloads.
 </li>
 <li>
 Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.
 </li>
 <li>
 Develop and maintain CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.
 </li>
 <li>
 Integrate monitoring and alerting systems to track model drift, data quality, and system performance.
 </li>
 <li>
 Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.
 </li>
 <li>
 Mentor junior engineers and contribute to knowledge sharing and best practices across the team.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 6-10 years of experience working with complex datasets and solving real-world business problems using AI
 </li>
 <li>
 Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.
 </li>
 <li>
 Strong proficiency in Python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).
 </li>
 <li>
 Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
 </li>
 <li>
 Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.
 </li>
 <li>
 Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).
 </li>
 <li>
 Strong command of Git and collaborative development workflows.
 </li>
 <li>
 Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.
 </li>
 <li>
 Fluent in Arabic &amp; English, both spoken and written (German is a plus!)
 </li>
 <li>
 Able to listen to and understand customer needs and articulate them as technical requirements to the team.
 </li>
 <li>
 Strong problem-solving abilities and attention to detail.
 </li>
 <li>
 Strategic thinking with the ability to align data science initiatives with business objectives.
 </li>
 <li>
 Strong leadership and team management skills with the ability to inspire and motivate.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 <li>
 Self-motivated with a strong growth mindset.
 </li>
 </ul>
</div>

Senior Data Scientist - AI & ML Engineer

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

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 
 About the AI Factory Team
 
 
 
 The
 
 AI Factory
 
 team builds intelligent software tools and platforms that empower our business teams &mdash; including
 
 Marketing, Operations, and Sales
 
 &mdash; to leverage AI for productivity, automation, and data-driven decision-making.
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Software Engineer with strong AI/ML experience
 
 to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 
 Large Language Models
 
 ,
 
 Generative AI
 
 , and
 
 data pipelines
 
 .
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 </li>
 <li>
 Stay updated on the latest trends in AI/ML, Generative AI, and LLM frameworks (LangChain, LlamaIndex, etc.).
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 About you
 
 
 
 <ul>
 <li>
 3+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong full-stack development skills:
 </li>
 <ul>
 <li>
 Frontend: React, TypeScript/JavaScript.
 </li>
 <li>
 Backend: Python (FastAPI or Flask).
 </li>
 </ul>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 
 
 </li>
 </ul>
 Experience building internal tools or platforms for cross-functional teams
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Full Stack AI Software Engineer

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 Transform business processes and elevate operational efficiency by designing advanced automation solutions that leverage cutting-edge AI technologies and enhance business outcomes.
 
 
 <ul>
 <li>
 Identify, analyze, and assess business and operational processes suitable for automation and AI enablement.
 </li>
 <li>
 Design and develop end-to-end automation solutions utilizing scripting, workflows, and AI models.
 </li>
 <li>
 Build and implement innovative AI use cases, including predictive analytics, intelligent ticket classification, NLP-based chatbots, and anomaly detection.
 </li>
 <li>
 Integrate automation solutions with enterprise systems such as ITSM, CRM, monitoring tools, databases, and APIs.
 </li>
 <li>
 Translate business requirements into technical designs and scalable solutions that adhere to security and architectural standards.
 </li>
 <li>
 Monitor, maintain, and optimize automation workflows and AI models for maximum performance.
 </li>
 <li>
 Perform administrative tasks related to on-site servers, including dashboard visualization and utilization.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You are a motivated ECS DevOps Engineer with a Bachelor&rsquo;s degree in a relevant technical field. You possess proficiency in programming languages such as Python, JavaScript, or PowerShell and have a solid understanding of AI/ML concepts. Your experience with various cloud platforms and ITSM tools, along with strong communication and organizational skills, makes you a vital asset to our team.
 
 
 
 Your professional skills:
 
 
 
 <ul>
 <li>
 Proficiency in programming languages such as Python, JavaScript, and PowerShell is essential for developing effective solutions.
 </li>
 <li>
 A solid understanding of AI and ML concepts, including NLP and generative AI, will enhance your capability to build innovative applications.
 </li>
 <li>
 Familiarity with ITSM platforms like ServiceNow, UD, and Jira will provide an advantage in integrating automation into existing workflows.
 </li>
 <li>
 Knowledge of cloud platforms such as AWS, Azure, or GCP is crucial for implementing scalable and secure solutions.
 </li>
 <li>
 Experience with both relational and non-relational databases is necessary to effectively store and manage data used in automation processes.
 
 
 </li>
 </ul>
 
 Your soft skills:
 
 
 
 <ul>
 <li>
 Strong communication skills are essential for effectively engaging with both technical and non-technical stakeholders.
 </li>
 <li>
 The ability to manage multiple initiatives independently while maintaining a high level of efficiency is vital to success in this role.
 </li>
 <li>
 A business-oriented mindset focused on maximizing efficiency, value, and ROI will drive impactful decision-making.
 </li>
 <li>
 Practicing strong documentation and knowledge-sharing practices will enhance collaboration and team learning.
 </li>
 <li>
 A continuous learning and innovation mindset is crucial for adapting to new challenges and staying at the forefront of technology.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

ECS DevOps Engineer

Deloitte

<div>
 
 AI/ML Engineering, Senior Tech Lead, 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
 
 
 
 Data requirements gathering and client engagement.
 
 
 <ul>
 <li>
 Being able to engage with the client 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>
 Familiarity with visualization libraries like Matplotlib, Seaborn, or data visualisation 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.
 
 
 <ul>
 <li>
 10+ years of experience in data engineering / data science
 
 
 </li>
 </ul>
 
 Essentials
 
 
 
 <ul>
 <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>
 Domain Knowledge: Familiarity with deploying ML frameworks in industry
 </li>
 <li>
 Research Enthusiast: A strong interest in staying abreast of the latest AI/ML advancements.
 </li>
 <li>
 Project Leadership: Previous experience leading AI/ML initiatives.
 
 
 </li>
 </ul>
 Diversity is our strength, and we celebrate the individuality of our team members. At Deloitte, we embrace differences and encourage everyone to be their authentic selves. We believe that it's these differences that keep us strong, successful, and diverse. Join us and be a part of a team that values your uniqueness!
 
 
 
 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.
 
 
 
 Personal independence
 
 
 
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
 
 
 
 Connect to your Industry
 
 
 
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo;
 
 
 <ul>
 <li>
 Dan, Technolgy &amp; Transformation
 
 
 </li>
 </ul>
 
 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 AI/ML Engineering, Senior Tech Lead, Cairo, Egypt

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

Explore 260+ Ai ml engineer in Cairo this April. Find roles across top companies and apply now to boost your career.