ai engineer senior

ITGoals

<p><b>Company Overview</b></p><p>ITGoals is a dynamic and innovative company committed to driving growth and delivering exceptional digital solutions. We foster a collaborative and inclusive work environment where creativity and technical excellence thrive&mdash;working from Cairo with international collaboration.</p><p><b>Job Description</b></p><p>As an AI Engineer at ITGoals, you will help design, develop, and deploy production-grade AI systems that bridge cutting-edge research and real-world product delivery. You&rsquo;ll work across the full lifecycle, from experimentation and evaluation to scalable deployment, collaborating closely with product, engineering, and data teams to deliver reliable, responsible, and high-performing AI capabilities.</p><p><b>Key Responsibilities</b></p><ul><li>Design and implement machine learning and deep learning models aligned with product and business goals.</li><li>Develop and optimize LLM-based systems (e.g., fine-tuning, prompt engineering, RAG), generative AI solutions, and/or predictive models.</li><li>Build scalable AI pipelines from experimentation to production, including training, evaluation, deployment, and monitoring (MLOps).</li><li>Collaborate with product, engineering, and data stakeholders to define requirements, success metrics, and delivery plans for AI features.</li><li>Ensure model performance, robustness, explainability, and ethical compliance across the development lifecycle.</li><li>Continuously evaluate emerging AI research and tools, proposing pragmatic integrations that improve product outcomes.</li><li>Contribute to operational excellence: reproducibility, documentation, testing, and incident response for AI services in live environments.</li></ul><p><b>Required Skills</b></p><ul><li>Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, and/or JAX).</li><li>Hands-on experience with large language models, including fine-tuning, prompt engineering, and/or retrieval-augmented generation (RAG).</li><li>Solid understanding of statistics, optimization, and model evaluation methodologies (metrics, validation strategies, error analysis).</li><li>Experience deploying AI systems on cloud platforms (AWS, GCP, and/or Azure).</li><li>Knowledge of containerization and orchestration (Docker, Kubernetes).</li><li>Familiarity with CI/CD practices and scalable inference infrastructure (batch/real-time serving, monitoring, versioning).</li><li>Strong problem-solving skills, ownership mindset, and clear technical communication in a collaborative environment.</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with multimodal AI systems (text + image/audio/video).</li><li>Background in reinforcement learning and/or advanced NLP techniques.</li><li>Published research, technical writing, or contributions to open-source AI projects.</li><li>Experience working in high-growth startup environments and shipping quickly with high quality.</li></ul><p><b>What Success Looks Like</b></p><ul><li>You deliver AI features that are measurable, reliable, and aligned with product goals&mdash;moving from prototype to production with strong engineering discipline.</li><li>You improve model quality and efficiency through thoughtful experimentation, optimization, and rigorous evaluation.</li><li>You help establish scalable MLOps practices (reproducibility, monitoring, deployment automation) that make AI delivery predictable.</li><li>You communicate trade-offs clearly and collaborate effectively across teams to unblock progress and maintain high standards.</li><li>You uphold responsible AI principles, ensuring solutions are robust, explainable where needed, and ethically developed.</li></ul><p><b>Additional Information</b></p><p>We&rsquo;re looking for a technically rigorous AI Engineer who enjoys balancing experimentation with production constraints and takes pride in building systems that perform well in real-world conditions. If you&rsquo;re excited about deploying modern AI (including LLM-powered systems) in live products and working with a collaborative, international team, you&rsquo;ll feel at home at ITGoals.</p><p>Job Type: Full-time</p>

AI Engineer - Senior

<div>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The AI Transformation Manager is responsible for leading the organization&rsquo;s transition into an AI-first enterprise. This role involves identifying high-value AI use cases, managing the implementation of agentic workflows and LLM-based systems, and driving the cultural change necessary for employees to work alongside AI. You will not only manage technology but also lead the "Workforce Transformation," ensuring that AI investments result in measurable ROI and enhanced human potential.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   1. Strategic Planning &amp; Roadmap Development
  </strong>
 </p>
 <ul>
  <li>
   Develop and maintain the Enterprise AI Roadmap, prioritizing use cases based on feasibility, cost, and business impact.
  </li>
  <li>
   Define KPIs for AI success (e.g., time-to-market reduction, cost-per-task optimization, or revenue uplift).
  </li>
  <li>
   Partner with senior leadership to align AI initiatives with the company&rsquo;s 3&ndash;5 year growth goals.
  </li>
 </ul>
 <p>
  <strong>
   2. AI Implementation &amp; Orchestration
  </strong>
 </p>
 <ul>
  <li>
   Lead the deployment of
   <strong>
    Agentic AI
   </strong>
   (autonomous agents) and
   <strong>
    RAG-based
   </strong>
   (Retrieval-Augmented Generation) knowledge systems across departments like HR, Finance, and Customer Operations.
  </li>
  <li>
   Oversee the "Build vs. Buy" evaluation for AI tools, ensuring interoperability with existing tech stacks (e.g., Azure AI, Microsoft 365 Copilot, or proprietary LLMs).
  </li>
  <li>
   Manage cross-functional "Pods" consisting of data scientists, engineers, and domain experts to deliver pilot projects within 60&ndash;90 day cycles.
  </li>
 </ul>
 <p>
  <strong>
   3. AI Governance &amp; Ethics
  </strong>
 </p>
 <ul>
  <li>
   Establish frameworks for
   <strong>
    Responsible AI
   </strong>
   , ensuring transparency, bias mitigation, and data privacy (GDPR/CCPA/AI Act compliance).
  </li>
  <li>
   Monitor AI performance for "model drift" and accuracy, ensuring the system remains reliable and defensible.
  </li>
 </ul>
 <p>
  <strong>
   4. Change Management &amp; Enablement
  </strong>
 </p>
 <ul>
  <li>
   Design and lead "AI Literacy" programs to upskill the workforce, moving beyond basic prompting to advanced AI-human collaboration.
  </li>
  <li>
   Manage organizational resistance by communicating a clear value narrative and identifying "AI Champions" within business units.
  </li>
  <li>
   Redesign workflows to capitalize on AI-human "Centaur" models, where AI handles routine processing and humans focus on high-stakes strategy and empathy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Skills &amp; Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Education:
   </strong>
   Bachelor&rsquo;s degree in Business, Computer Science, or Data Science. An MBA or post-graduate degree in Digital Transformation is highly preferred.
  </li>
  <li>
   <strong>
    Experience:
   </strong>
   6+ years of experience in Digital Transformation, Product Management, or Management Consulting, with at least 2&ndash;3 years focused specifically on AI/ML projects.
  </li>
  <li>
   <strong>
    AI Fluency:
   </strong>
   Deep understanding of Generative AI capabilities, LLM lifecycles, and
   <strong>
    Agentic Workflows
   </strong>
   . You don't need to be a coder, but you must be able to "speak engineer."
  </li>
  <li>
   <strong>
    Data Literacy:
   </strong>
   Proficiency in data strategy&mdash;understanding data pipelines, quality, and how "grounding" affects AI accuracy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tools &amp; Certifications (Preferred)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Certifications:
   </strong>
   Microsoft Certified: AI Transformation Leader, PMP, or similar.
  </li>
  <li>
   <strong>
    Tooling Knowledge:
   </strong>
   Familiarity with AI orchestration platforms (LangChain, Zapier Central), MLOps basics, and BI tools (Tableau, PowerBI).
  </li>
 </ul>
 <p>
 </p>
</div>


AI Transformation Manager

Deloitte

<div>
 <strong>
  Deloitte Innovation Hub | AI &amp; Data | Senior AI / ML Engineer, Cairo, Egypt
  <br/>
  <br/>
 </strong>
 <strong>
  Connect to your career at Deloitte
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Connect to your opportunity.
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 As a Senior AI/ML Engineer in our team, you will:
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Client Engagement
  <br/>
  <br/>
 </strong>
 Your Tasks would include
 <em>
  :
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Engage with clients to understand their pain points and requirements.
  </li>
  <li>
   Communicate solutions/propositions effectively back to client/team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Analysis And Pre-processing
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Algorithm Development
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Model Training And Evaluation
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Visualization
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Connect To Your Skills And Professional Experience.
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Essentials
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desirables
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Connect to your service line - Technology and Transformation
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Our commitment to you
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Connect to your next step
  <br/>
  <br/>
 </strong>
 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

FlairsTech

<div><div><div><div><p>Requirements and responsibilities</p><div><h1 class="jobSectionHeader"><b><br>
</b></h1><h2 class="jobSectionHeader"><b>
AI Product Engineer</b></h2><p>
We are looking for an AI Product Engineer to join our team.</p><p>
Our POS is a leading provider of point of sale and integrated business management solutions built for hospitality and food and beverage businesses. With more than 30 years of industry experience, H&amp;L delivers flexible POS, back of house, inventory, workforce management and reporting systems that help hotels, pubs, restaurants, bars, clubs, caf&eacute;s, liquor retailers and event venues operate efficiently and profitably.</p><p>
Our platform connects front of house sales with advanced stock control and data management, supports integrations with online ordering, table service and reservations platforms, provides advanced reporting, and integrates with more than 150 hospitality technology partners. Our customer centric approach and deep sector expertise help operators deliver exceptional guest experiences while maintaining visibility, control and sustainable growth across their business.</p><h3 class="jobSectionHeader"><b>
About the role</b></h3><p>
The AI Product Engineer is an AI first builder within our AI Product Engineering capability and AI Pods. This role is responsible for turning customer and business problems into working product solutions by using AI as the default execution medium across design support, implementation, testing, documentation, release preparation and analysis.</p><p>
This is not a traditional software development role built around rigid handoffs, story point rituals, or narrow ticket execution. The AI Product Engineer moves from problem understanding to working software quickly, while maintaining strong engineering judgment, product awareness, and quality standards.</p><p>
The role is central to our move toward an agentic product and development lifecycle. It requires end to end ownership across frontend, backend, data, testing, deployment and production reliability. It also requires clear accountability for the areas that must remain human led, including customer problem framing, product judgment, architecture, security, trade off decisions, quality control for edge cases, and release readiness.</p><h3 class="jobSectionHeader"><b>
What you will do</b></h3><h4 class="jobSectionHeader"><b>
AI first product building</b></h4><ul><li>
Build working product solutions using AI as the default approach across coding, testing, debugging, documentation and technical research</li><li>
Rapidly prototype, iterate and refine solutions to validate ideas and accelerate delivery</li><li>
Use AI agents and AI assisted workflows to generate designs, implementations, tests and supporting documentation</li><li>
Contribute to our move toward an agentic product and software delivery model</li></ul><h4 class="jobSectionHeader"><b>
Problem analysis and solution design</b></h4><ul><li>
Analyse customer and business problems deeply before execution</li><li>
Break ambiguous problems into solvable components and evaluate multiple solution paths</li><li>
Make informed trade-offs between speed, quality, maintainability, security and customer value</li><li>
Apply strong engineering and product judgment to architecture, design and implementation decisions</li></ul><h4 class="jobSectionHeader"><b>
End to end engineering delivery</b></h4><ul><li>
Build modern, scalable frontend applications using React/Angular and TypeScript</li><li>
Design and implement robust backend services using Node.js</li><li>
Develop and maintain clean, secure and well-structured RESTful APIs</li><li>
Design sound data models and work effectively with relational and non-relational databases</li><li>
Support cloud native services in AWS environments</li><li>
Work with Docker, CI/CD pipelines and automated deployment practices</li><li>
Ensure strong automated test coverage across unit, integration and end to end layers</li></ul><h4 class="jobSectionHeader"><b>
Product and customer value</b></h4><ul><li>
Partner with Product, Design, Support and customer facing teams to ensure solutions solve real customer problems</li><li>
Participate in customer demos and explain how solutions work and why key design decisions were made</li><li>
Incorporate customer and operational feedback into fast iteration cycles</li><li>
Help ensure shipped capabilities drive measurable adoption, usage and business impact</li></ul><h4 class="jobSectionHeader"><b>
Quality, governance and reliability</b></h4><ul><li>
Evaluate and improve AI generated outputs for correctness, security, maintainability and fitness for purpose</li><li>
Work within approved AI engineering patterns, tooling standards, review practices and security guardrails</li><li>
Ensure solutions meet both functional and non-functional expectations</li><li>
Support reliable operation in production and continuously improve performance, resilience and maintainability</li><li>
Contribute to engineering review standards for AI generated code, tests and documentation</li></ul><h4 class="jobSectionHeader"><b>
Platform evolution</b></h4><ul><li>
Develop new product capabilities</li><li>
Integrate customer driven project work into the core platform where appropriate</li><li>
Remove legacy layers and consolidate functionality into a scalable SaaS architecture</li><li>
Refactor incrementally and safely within complex and evolving codebases</li></ul><h3 class="jobSectionHeader"><b>
What this role is not</b></h3><ul><li>
Not a traditional software developer role focused only on ticket execution</li><li>
Not limited to coding work handed off without context or ownership</li><li>
Not bound by rigid SDLC stages that separate thinking from building</li><li>
Not an AI experimentation role without accountability for quality, adoption and outcomes</li></ul><h3 class="jobSectionHeader"><b>
What success looks like</b></h3><p>
Success in this role will be measured through:</p><ul><li>
Reduced cycle time from problem definition to working solution</li><li>
High quality and reliable shipped outcomes</li><li>
Strong adoption and usage of delivered capabilities</li><li>
Improved engineering leverage and throughput</li><li>
Contribution to customer and commercial outcomes</li><li>
Effective use of AI without compromising quality, security or judgment</li></ul><h3 class="jobSectionHeader"><b>
Requirements</b></h3><h4 class="jobSectionHeader"><b>
Frontend</b></h4><ul><li>
Deep experience with React, Angular and TypeScript in production grade applications</li><li>
Strong proficiency in modern JavaScript, HTML5 and CSS3</li><li>
Experience designing scalable and maintainable frontend architectures</li><li>
Experience integrating RESTful APIs</li></ul><h4 class="jobSectionHeader"><b>
Backend</b></h4><ul><li>
Extensive experience designing and implementing backend systems using Node.js</li><li>
Strong experience building RESTful APIs</li><li>
Solid understanding of relational databases, data modelling and query optimisation</li><li>
Experience with asynchronous processing and system integration</li></ul><h4 class="jobSectionHeader"><b>
Core capabilities</b></h4><ul><li>
Strong ability to build working software using AI tools and AI assisted engineering workflows</li><li>
Experience rapidly prototyping and iterating on product ideas</li><li>
Understanding of AI system behaviour, limitations and failure modes</li><li>
Ability to reason across systems end to end</li><li>
Comfort moving independently from problem statement to implementation</li><li>
Ability to evaluate and improve AI generated outputs</li><li>
Strong debugging and problem-solving capability</li><li>
Strong understanding of software quality, testing and maintainability</li></ul><h4 class="jobSectionHeader"><b>
Testing and quality</b></h4><ul><li>
Experience writing automated unit and integration tests</li><li>
Familiarity with end-to-end testing frameworks such as Cypress, Jest, TestCafe or similar</li><li>
Strong understanding of test strategy and testable architecture</li><li>
Experience working with CI/CD pipelines and automated test execution</li></ul><h4 class="jobSectionHeader"><b>
Cloud and operations</b></h4><ul><li>
Experience working in AWS hosted SaaS environments</li><li>
Experience with Docker and containerised deployments</li><li>
Experience troubleshooting production systems</li></ul><h4 class="jobSectionHeader"><b>
General engineering</b></h4><ul><li>
Strong architectural thinking across the full stack</li><li>
Experience working in complex and evolving codebases</li><li>
Proven ability to refactor legacy systems incrementally and safely</li><li>
Strong debugging and performance optimisation skills</li><li>
Experience mentoring engineers or leading technical initiatives</li></ul><h3 class="jobSectionHeader"><b>
Nice to have</b></h3><ul><li>
Experience with event driven systems such as Kafka</li><li>
Familiarity with monitoring and observability tooling</li><li>
Experience integrating AI APIs into business workflows</li><li>
Knowledge of DevOps best practices and infrastructure automation</li><li>
Experience in hospitality, retail, POS, or other multi-site operational SaaS environments</li></ul></div></div></div></div></div><p></p>

AI Product Engineer

TechLabs London

<div>
 <strong>
  About TechLabs London:
  <br/>
  <br/>
 </strong>
 At TechLabs London, we build cutting-edge digital products that power smarter, more connected organizations. Our flagship solution is transforming housing management with modern cloud technology, intuitive design, and seamless integration. We are now embedding
 <strong>
  AI and intelligent automation
 </strong>
 across our platforms &mdash; and this role is at the center of that mission. We&rsquo;re looking for a driven and creative
 <strong>
  AI Engineer
 </strong>
 to lead this charge with us, to deliver production-ready AI features, predictive analytics, and computer vision tools that unlock real business value.
 <br/>
 <br/>
 <strong>
  Job Purpose:
 </strong>
 As an AI Engineer you&rsquo;ll be responsible for the development, deployment, and optimisation of advanced AI and ML capabilities within TechLabs London. You will collaborate with cross-functional teams to embed intelligent solutions into our existing product suite and shape the next generation of AI-powered features across our platforms. This role is perfect for someone who&rsquo;s passionate about building practical AI solutions and wants to see their work improve lives, save time, and power decisions. You&rsquo;ll help the business translate complex challenges into intelligent, scalable solutions.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build end-to-end AI pipelines across use cases such as predictive modelling, NLP, computer vision, and conversational AI.
  </li>
  <li>
   Design, develop and deploy conversational AI solutions using LLMs and agentic frameworks (e.g. LangChain, LangGraph), including RAG pipelines, intent classification, entity extraction, and multi-turn dialogue management.
  </li>
  <li>
   Apply computer vision to extract intelligence from images and videos for detection, classification, and automation.
  </li>
  <li>
   Develop time-series models that analyze behavior and generate predictive.
  </li>
  <li>
   Experiment with foundational models and fine-tune them for specific tasks relevant to our domain.
  </li>
  <li>
   Integrate models into production by working with our developers to deploy solutions into our products and beyond.
  </li>
  <li>
   Architect and build scalable, secure, and reusable ML APIs, workflows, and pipelines using modern MLOps practices and containerisation (Docker).
  </li>
  <li>
   Translate business problems into data-driven solutions, working closely with product, customer success, and engineering teams.
  </li>
  <li>
   Champion AI-first thinking across the company, supporting POCs, internal tooling, and customer-facing features.
  </li>
  <li>
   Collaborate with internal developers, product managers, domain experts, and external stakeholders to ensure solutions are feasible, maintainable, and impactful, as well as to define data strategies and model objectives.
  </li>
  <li>
   Conduct rigorous A/B testing and model evaluation.
  </li>
  <li>
   Support the integration of models into production systems using APIs and microservices.
  </li>
  <li>
   Stay abreast of advancements in AI/ML research and apply relevant breakthroughs to ongoing projects.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills and Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in information technology, Software Engineering, Computer Science, or related field.
  </li>
  <li>
   Proven experience building and deploying LLM-powered applications, including RAG pipelines and conversational agents.
  </li>
  <li>
   Hands-on experience with LangChain or similar agentic frameworks (LangGraph, AutoGen, or equivalent).
  </li>
  <li>
   Strong proficiency in Python and relevant ML libraries (e.g. pandas, scikit-learn, PyTorch, spaCy, Hugging Face, OpenCV etc.)
  </li>
  <li>
   Experience with cloud platforms &mdash; Azure is our primary platform (preferred); AWS or GCP also considered.
  </li>
  <li>
   Containerization and orchestration: Docker, Docker Compose.
  </li>
  <li>
   Solid understanding of data modelling, feature engineering, and data warehousing concepts.
  </li>
  <li>
   Strong knowledge of SQL and experience with relational and/or vector databases (e.g. pgvector, Pinecone, Weaviate).
  </li>
  <li>
   Proficiency in version control, CI/CD, and model deployment practices.
  </li>
  <li>
   Experience integrating AI models into web or mobile applications is highly valued.
  </li>
  <li>
   Experience with MLOps tools like MLflow, Airflow, DVC.
  </li>
  <li>
   Familiarity with MCP Server (Model Context Protocol) for building tool-augmented AI agents is a plus.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Mindset &amp; Soft Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong problem-solving and analytical thinking &mdash; able to translate messy real-world data into measurable solutions.
  </li>
  <li>
   Pragmatic and delivery-oriented &mdash; capable of balancing technical innovation with business impact.
  </li>
  <li>
   Communicative and collaborative &mdash; comfortable working across teams and disciplines.
  </li>
  <li>
   Self-driven &mdash; able to manage time, priorities, and project ownership in a fast-moving team.
  </li>
  <li>
   Knowledge of data governance, bias mitigation, and explainable AI techniques.
  </li>
 </ul>
</div>


AI& Data Engineer (Hybrid)

sonnen Egypt

<div>
 <strong>
  Standort
  <br/>
  <br/>
 </strong>
 Cairo, EG
 <br/>
 <br/>
 <strong>
  Stellen-ID
 </strong>
 : 4758
 <br/>
 <br/>
 Join the energy revolution with #teamsonnen!
 <br/>
 <br/>
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 <br/>
 <br/>
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 <br/>
 <br/>
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 <br/>
 <br/>
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 <br/>
 <br/>
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 <br/>
 <br/>
 <strong>
  What you will do to help drive the energy transition:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
  </li>
  <li>
   You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
  </li>
  <li>
   You develop and maintain data integration processes with a variety of structured and unstructured data sources.
  </li>
  <li>
   You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
  </li>
  <li>
   You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
  </li>
  <li>
   You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
  </li>
  <li>
   Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
  </li>
  <li>
   You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
  </li>
  <li>
   (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Need On That Journey
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science or a related technical field.
  </li>
  <li>
   +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
  </li>
  <li>
   +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
  </li>
  <li>
   Experience with Big Data technologies such as Hadoop, Hive, and Spark.
  </li>
  <li>
   Ability to translate organizational goals into technical solutions.
  </li>
  <li>
   Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
  </li>
  <li>
   Proficiency in Python, SQL, and NoSQL.
  </li>
  <li>
   Excellent communication and project management skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stellensegment:
 </strong>
 Computer Science, Data Warehouse, Business Intelligence, Quality Assurance, Project Manager, Technology
</div>


Data Engineer (m/f/d)

Capgemini

<div><div><div><p>Cairo</p><div>
Data Scientist (Machine Learning Engineer)</div><p>
</p></div></div><p></p><div><div><div><div><div><div>
About Capgemini</div><div>
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.</div><div>
</div><div></div><p>Job Responsibities:</p><p><br>
Machine Learning &amp; AI Solutions</p><ul><li>
Design and implement Agentic AI solutions and applications.</li><li>
Experience in Data Science, Data Mining, Machine Learning tasks (e.g. feature engineering, model training, evaluation, and deployment).</li><li>
Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.</li></ul><p>
Cloud &amp; Data Engineering</p><ul><li>
Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.</li></ul><p>
MLOps &amp; Automation</p><ul><li>
Familiarity with CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.</li></ul><p>
Collaboration &amp; Innovation</p><ul><li>
Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.</li><li>
Contribute to knowledge sharing and best practices across the team.</li></ul><p>
</p><p>Job Requirements:</p><p>
</p><p>Technical Skills:</p><ul><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>
Familiarity with cloud platforms (Azure, AWS, GCP) and their ML services.</li><li>
Familiarity with MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).</li><li>
Familiarity with Git and collaborative development workflows.</li></ul><p>
Experience:</p><ul><li>
2-5 years of experience in solving real-world business problems using AI</li></ul><ul><li>
Proven track record of deploying and maintaining ML models in production environments.</li></ul><p>
Communication Skills:</p><ul><li>
Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.</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></ul><p>
Additional Skills:</p><ul><li>
Strong problem-solving abilities and attention to detail.</li><li>
Ability to work collaboratively in a team environment.</li><li>
Self-motivated with a continuous learning mindset.</li></ul></div></div><div><div><div>
<div><div>Ref. code</div><div>
362478-en_US</div></div><div><div>
Posted on</div><div>
08 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Cairo</div></div><div><div>
Business unit</div><div>
INVENT</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Data Scientist (Machine Learning Engineer)

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