quality & test automation engineer, valeo service

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quality & test automation engineer, valeo service Jobs in Cairo

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senior devops engineer, ai4all

software engineer

ai automation engineer light

Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 Responsibilities Cross-Disciplinary Automation
 
 ~
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling~ Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 ~ Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 ~ Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance~
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 ~ Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction~ Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance~ Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration~ Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment~ Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 Programming &amp; Scripting~
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM~ ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling~
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
 
 
 
 Position~
 
 
 
 AI4all, Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-04-07
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

AI & Automation Engineer, LIGHT

Arrow Components

<div>
 
 Position
 
 
 
 Senior Software Quality Engineer
 
 
 
 Job Description
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Quality Engineer
 
 with strong experience in manual, automation, performance, and API testing, along with a passion for using
 
 AI/ML to enhance software testing
 
 . You&rsquo;ll be part of an Agile team focused on delivering high-quality products faster and smarter.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Plan, design, and execute manual and automated test cases based on requirements, user stories, and acceptance criteria.
 </li>
 <li>
 Develop and maintain test automation frameworks across UI and API platforms.
 </li>
 <li>
 Perform API testing using tools like Postman, RestAssured, or similar.
 </li>
 <li>
 Develop and maintain performance testing using tools such as JMeter, Gatling, or LoadRunner; analyze performance metrics and suggest improvements.
 </li>
 <li>
 Apply AI/ML technologies techniques to improve testing practices, such as:
 </li>
 <ul>
 <li>
 AI-assisted test case generation
 </li>
 <li>
 Test impact analysis
 </li>
 <li>
 Intelligent test prioritization
 </li>
 <li>
 Self-healing automation scripts
 </li>
 <li>
 Predictive defect analysis
 </li>
 </ul>
 <li>
 Collaborate with developers, product owners, and business analysts in Agile ceremonies including sprint planning, reviews, and retrospectives.
 </li>
 <li>
 Contribute to and enforce quality best practices, including shift-left testing and test strategy planning.
 </li>
 <li>
 Investigate, debug, and triage issues; perform root cause analysis and track defect trends.
 </li>
 <li>
 Continuously explore and evaluate new tools and techniques to optimize test coverage and cycle time.
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 3+ years in QC with expertise in manual, automation, API, and performance testing.
 </li>
 <li>
 Hands-on experience with tools like Selenium, Playwright, JMeter, and Postman.
 </li>
 <li>
 Proficient in scripting/programming languages like Python, Java, or JavaScript.
 </li>
 <li>
 Working knowledge of AI/ML concepts, especially as applied to testing (e.g., pattern detection, test impact analysis).
 </li>
 <li>
 Experience using or evaluating AI-based testing tools or frameworks.
 </li>
 <li>
 Solid understanding of Agile/Scrum practices and CI/CD pipelines.
 </li>
 <li>
 Strong analytical, debugging, and problem-solving skills.
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Software Quality Engineer

Flatgigs

<div>
 
 The Role
 
 
 
 The Forward Deployed AI Engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.
 
 
 The work is hands-on and client-facing:
 
 
 <ul>
 <li>
 Understand operational workflows and convert them into technical artifacts
 </li>
 <li>
 Connect to real enterprise systems and data sources
 </li>
 <li>
 Build context-aware AI agents, retrieval systems, and automation prototypes
 </li>
 <li>
 Help move the best prototypes toward reliable production deployments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Build context graphs.
 
 Help ingest, clean, structure, and connect data from enterprise systems into context graph. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.
 
 
 
 Develop AI and agentic workflows.
 
 Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.
 
 
 
 Connect to enterprise systems
 
 . Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.
 
 
 
 Prototype automation opportunities.
 
 Rapidly build proof-of-concepts that show how AI can improve a client's operations - for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.
 
 
 
 Turn messy business problems into software.
 
 Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.
 
 
 
 Support production deployments.
 
 Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.
 
 
 
 Ideal Candidate
 
 
 
 We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.
 
 
 You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.
 
 
 
 Technical Background
 
 
 
 <ul>
 <li>
 Strong Python fundamentals
 </li>
 <li>
 Basic backend development experience
 </li>
 <li>
 Familiarity with APIs, databases, and cloud services
 </li>
 <li>
 Interest in LLMs, agents, retrieval, structured outputs, and tool-calling
 </li>
 <li>
 Familiarity with data pipelines and messy real-world datasets
 </li>
 <li>
 Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus
 </li>
 <li>
 AWS experience is a plus
 </li>
 <li>
 Experience with enterprise data, analytics, or workflow automation is a strong plus
 
 
 </li>
 </ul>
 
 What Makes Someone Successful In This Role
 
 
 
 <ul>
 <li>
 You like figuring out how businesses actually operate
 </li>
 <li>
 You are comfortable working with incomplete, messy, or poorly documented data
 </li>
 <li>
 You can move quickly from vague requirements to a working prototype
 </li>
 <li>
 You care about building useful systems, not just impressive demos
 </li>
 <li>
 You communicate clearly with both engineers and non-technical stakeholders
 </li>
 <li>
 You are curious about how AI agents can interact with real tools, data, and workflows
 </li>
 <li>
 You want to learn how to deploy AI into real enterprise environments
 
 
 </li>
 </ul>
 
 Why This Role Is Interesting
 
 
 
 You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.
 
 
 This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software
</div>

Forward Deployed AI Engineer

Infomineo

<div>
 
 Description
 
 
 
 About us:
 
 
 
 Infomineo is a fast-growing business insights provider, bringing Brainshoring to global clients across a range of services: Business research, Content Services, Graphic Design, and Data Analytics. Our clients include leading Consultancies, Fortune 500 companies, Governments, and NGOs. Infomineo counts 350+ employees spread across 5 offices covering EMEA and the Americas (Casablanca, Cairo, Dubai, Barcelona and Mexico City).
 
 
 
 About this role:
 
 
 
 We are actively seeking a highly skilled and experienced individual to join us as a Senior Research &amp; Development Engineer. This role requires expertise in DevOps, Cloud Computing, AI projects, API integration, and preferably data engineering. The ideal candidate will play a pivotal role in defining and developing initiatives that leverage AI and automation technologies to enhance our products and services.
 
 
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 Technical Development and Automation:
 </li>
 <li>
 Lead the development and implementation of AI-driven solutions, focusing on automation and efficiency.
 </li>
 <li>
 Utilize DevOps principles to streamline development processes and ensure seamless deployment of AI applications.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Cloud Architecture and Integration:
 </li>
 <li>
 Design and implement scalable cloud architectures to support AI initiatives.
 </li>
 <li>
 Integrate AI solutions with cloud platforms, ensuring optimal performance and scalability.
 </li>
 <li>
 Implement best practices for cloud security and compliance.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 API Integration and Data Engineering:
 </li>
 <li>
 Develop and maintain API integrations to enhance data flow between different systems.
 </li>
 <li>
 Leverage data engineering techniques to process and analyze large datasets for AI model training.
 </li>
 <li>
 Ensure data quality and integrity throughout the integration process.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 AI Project Management:
 </li>
 <li>
 Utilize agile methodologies to manage the lifecycle of AI development projects.
 </li>
 <li>
 Collaborate with stakeholders to define project requirements and deliverables.
 </li>
 <li>
 Track and report on project progress, addressing any challenges or bottlenecks.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Continuous Improvement and Innovation:
 </li>
 <li>
 Stay updated on the latest advancements in AI, automation, and related technologies.
 </li>
 <li>
 Propose and implement improvements to existing systems and processes.
 </li>
 <li>
 Foster a culture of innovation within the team, encouraging creative problem-solving.
 </li>
 </ul>
 
 
 
 
 Qualifications:
 
 <ul>
 <li>
 3 to 5 years Proven experience in DevOps, Cloud Computing, AI projects and API integration.
 </li>
 <li>
 In-depth knowledge of cloud platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Experience with containerization technologies (e.g., Docker, Kubernetes).
 </li>
 <li>
 Solid understanding of data engineering principles and practices.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.
 </li>
 </ul>
 
 
 
 
 Preferred Skills:
 
 <ul>
 <li>
 Certifications in relevant technologies (e.g., AWS Certified DevOps Engineer, TensorFlow Developer).
 </li>
 <li>
 Previous experience in data engineering
 </li>
 <li>
 Strong proficiency in relevant programming languages (e.g., Python, Java).
 </li>
 <li>
 Previous experience in developing and deploying AI models in a production environment.
 </li>
 <li>
 Familiarity with machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in building and maintaining data pipelines.
 </li>
 </ul>
 
 What We Offer:
 
 <ul>
 <li>
 Competitive salary and benefits.
 </li>
 <li>
 Opportunity to shape and drive AI and automation initiatives.
 </li>
 <li>
 A collaborative and forward-thinking work environment.
 </li>
 <li>
 Professional development and career growth opportunities.
 </li>
 </ul>
 
 
 
 
 Application Process:
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in DevOps, Cloud Computing, AI projects, API integration, and data engineering. Shortlisted candidates may undergo a technical assessment or interview process to demonstrate their skills.
 
 
 
 
 
 
 What is it like to work at Infomineo?
 
 
 
 If you've spoken with someone who works at Infomineo, you've probably heard that our people are our most valuable asset. Our diversity, both in terms of professional experience and culture, is the company&rsquo;s greatest strength. By being a part of Infomineo, you'll have the opportunity to work alongside a friendly, smart, and international team of researchers that value intellectual vitality and creativity. You will learn the best practices, tools to use when conducting primary and secondary research. You will grow your career, expertise across different regions and industries. As a member of the team, you'll be encouraged to contribute by applying your ideas while playing an instrumental role in the company&rsquo;s development and growth. Within this role, you'll support leading international institutions &amp; companies with the data and information required to fuel key business decisions.
 
</div>

Tech Innovation - Sr. R&D Software Engineer- Cairo

Soum

<div>
 
 Role Name: AI / GenAI Solutions Engineer
 
 
 
 Location:
 
 Egypt, Saudi Arabia, and Pakistan (Remote)
 
 
 
 Work Week:
 
 Sunday - Thursday
 
 
 
 Working Hours:
 
 9:00 AM - 6:00 PM (Saudi Arabia Standard Time)
 
 
 
 Overview:
 
 
 Soum is on a mission to revolutionize customer service experiences across our C2C marketplace through cutting-edge AI solutions. We&rsquo;re looking for a talented
 
 AI / GenAI Solutions Engineer
 
 who will architect, build, and deploy intelligent systems that transform how we engage with millions of users.
 
 
 You&rsquo;ll be at the forefront of GenAI innovation&mdash;leveraging tools like Gemini Advanced, Claude Enterprise, and ChatGPT&mdash;to design scalable, reliable, and context-aware AI agents deeply integrated into Soum&rsquo;s ecosystem. This is your chance to make a tangible impact on how customers interact with our platform while working in a collaborative, fast-paced environment.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Build GenAI-powered solutions: Design, develop, and deploy scalable business workflows using GenAI client tools (e.g., Gemini Advanced, NotebookLM, Claude Enterprise) and integrate them with existing systems via APIs (Freshdesk, Google Workspace, Airtable, etc.)
 </li>
 <li>
 Drive AI innovation: Evaluate and experiment with emerging GenAI technologies, stay ahead of industry trends, and pilot innovative solutions tailored for Soum&rsquo;s marketplace
 </li>
 <li>
 Ensure scalability and reliability: Architect solutions that can handle high-volume, concurrent user interactions while maintaining low latency and excellent user experience
 </li>
 <li>
 Partner cross-functionally: Collaborate with Product, Data, Engineering, and Customer Support teams to identify opportunities for automation and deliver impactful, user-centric solutions
 </li>
 <li>
 Evangelize AI adoption: Share best practices, contribute to technical knowledge-sharing sessions, and promote a culture of continuous improvement and innovation
 </li>
 <li>
 Bridge technical gaps: Integrate custom-built AI platforms with out-of-the-box GenAI tools, fostering democratization and ease of adoption across teams
 
 
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree, preferably in Computer Science, Engineering, or a related technical field
 </li>
 <li>
 3+ years of relevant experience in AI or related fields
 </li>
 <li>
 Experience designing, building, and deploying AI/ML systems at scale in conversational AI contexts
 </li>
 <li>
 Deep hands-on experience using and implementing GenAI tools (e.g., Gemini, ChatGPT, Claude Enterprise) to solve real-world business problems
 </li>
 <li>
 Strong understanding of SaaS ecosystems, API integrations (including Google Workspace, Airtable, Freshdesk)
 </li>
 <li>
 Expertise in NLP/NLU, conversational AI frameworks, and large language models
 </li>
 <li>
 Proficiency in Python and JavaScript for scripting, automation, and lightweight prototyping
 </li>
 <li>
 Practical experience integrating AI solutions into production systems via APIs, microservices, and event-driven architectures
 </li>
 <li>
 Experience working on a C2C platform. Solid understanding of marketplace dynamics, customer support challenges, and user engagement in a C2C environment
 </li>
 <li>
 Experience implementing conversational flows, dialogue management, and context tracking in AI agents
 </li>
 <li>
 Familiarity with retrieval-augmented generation (RAG) architectures for enhancing LLM capabilities
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI deployments
 </li>
 <li>
 Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively
 
 
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

AI / GenAI Solutions 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
 
 
 
 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

TechLabs London

<div>
 
 About TechLabs London:
 
 
 
 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
 
 AI and intelligent automation
 
 across our platforms &mdash; and this role is at the center of that mission. We&rsquo;re looking for a driven and creative
 
 AI Engineer
 
 to lead this charge with us, to deliver production-ready AI features, predictive analytics, and computer vision tools that unlock real business value.
 
 
 
 Job Purpose:
 
 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.
 
 
 
 Responsibilities:
 
 
 
 <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.
 
 
 
 </li>
 </ul>
 
 Skills and Experience:
 
 
 
 <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.
 
 
 
 </li>
 </ul>
 
 Mindset &amp; Soft Skills:
 
 
 
 <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)

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