machine learning engineer

Siemens

<div>
 
 About Brightly
 
 
 
 Brightly is a global leader in intelligent, cloud‑based asset lifecycle management, empowering 12,000+ clients with predictive insights to optimize maintenance, energy, and capital planning&mdash;backed by Siemens. Our products help schools, hospitals, cities, and manufacturers keep critical infrastructure running efficiently and sustainably.
 
 
 
 The Opportunity
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development&mdash;from prototype to production&mdash;on AWS. You&rsquo;ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly&rsquo;s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency, cost, and quality. (Guided by current LLM engineer role practices.)
 </li>
 <li>
 Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and continuous improvement of models and prompts.
 </li>
 <li>
 Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock, EMR, MSK, Step Functions; apply observability (CloudWatch/OpenTelemetry) and cost controls. (Duties aligned to modern AWS ML roles.)
 </li>
 <li>
 Scale training &amp; inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
 </li>
 <li>
 MLOps &amp; governance: Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls. (Aligned with contemporary MLOps templates.)
 </li>
 <li>
 Partner across Brightly: Translate asset‑management use cases into ML/LLM solutions; collaborate with product managers and UX to ship customer‑visible features that measurably improve reliability, safety, and sustainability.
 </li>
 <li>
 Mentor &amp; lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) on structured, semi‑structured, and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.
 
 
 </li>
 </ul>
 (Consistent with ML engineer responsibilities to analyze data before model development.)
 
 
 <ul>
 <li>
 Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Required experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years total software/ML engineering experience, with 3+ years building and operating ML systems in production.
 </li>
 <li>
 1+ years hands‑on LLM application development (e.g., RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using packages such as Langchain and Langgraph.
 </li>
 <li>
 AWS proficiency (3+ years): Strong with core services (EKS/ECS, Lambda, S3, DynamoDB/RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS). (Representative AWS ML role skills.)
 </li>
 <li>
 Modeling &amp; frameworks: Python, PyTorch, Hugging Face ecosystem; vector stores (e.g., OpenSearch, PGVector, Pinecone), embeddings, retrieval, and evaluation metrics for NLP/LLMs. (In line with senior LLM roles.)
 </li>
 <li>
 MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
 </li>
 <li>
 Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
 </li>
 <li>
 Exposure to sustainability/asset/intelligent operations domains.
 </li>
 <li>
 Familiarity with security &amp; compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)
 
 
 </li>
 </ul>
 How you&rsquo;ll work
 
 
 <ul>
 <li>
 Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
 </li>
 <li>
 Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
 </li>
 <li>
 Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS/EE/Math or related field (Master&rsquo;s preferred) or equivalent practical experience. (Typical for senior ML roles.)
 
 
 </li>
 </ul>
 Join a mission‑driven team building technology that keeps communities running&mdash;safer, greener, and more resilient&mdash;at global scale. You&rsquo;ll pair startup‑speed product work with the reach and rigor of Siemens.
 
 
 
 The Brightly culture
 
 
 
 We&rsquo;re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
</div>

Senior Machine Learning Engineer

YO IT Consulting

<div>
 
 Job Description
 
 
 
 
 Job Title:
 
 AI Engineer
 
 
 
 Job Type:
 
 Contract
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary:
 
 In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required &mdash; your domain knowledge is what matters.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize robust machine learning models for production environments.
 </li>
 <li>
 Implement and automate end-to-end ML pipelines using CI/CD best practices.
 </li>
 <li>
 Leverage AWS services for scalable AI infrastructure and model deployment.
 </li>
 <li>
 Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
 </li>
 <li>
 Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
 </li>
 <li>
 Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
 </li>
 <li>
 Document and communicate findings, solution approaches, and technical decisions with clarity and precision.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proven expertise in machine learning algorithms, model development, and deployment.
 </li>
 <li>
 Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
 </li>
 <li>
 In-depth experience with CI/CD workflows and automation tools.
 </li>
 <li>
 Hands-on expertise with AWS cloud services for ML applications and data pipelines.
 </li>
 <li>
 Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.
 </li>
 <li>
 Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration.
 </li>
 <li>
 Demonstrated ability to scope, structure, and solve complex, real-world data challenges.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Experience working in high-growth or startup environments.
 </li>
 <li>
 Strong publication record or contributions to open-source AI projects.
 </li>
 </ul>
</div>

AI Engineer - Remote

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
 <li>
 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
 <li>
 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

AI & Analytics - Sr. Software Engineer with AI Background - Cairo

Jumia Group

<div>
 
 About Jumia
 
 :
 
 
 Jumia is a leading pan-African e-commerce platform. Its mission is to improve the quality of everyday life in Africa by leveraging technology to deliver innovative, convenient and affordable online services to customers, while helping businesses grow as they use Jumia's platform to better reach and serve customers.
 
 
 Jumia is built around a marketplace and supported by a proprietary logistics business
 
 [Jumia Logistics]
 
 and a digital payment and fintech platform
 
 [Jumia Pay]
 
 . With over 3,000 employees, Jumia is led by top talented leaders offering a great mix of local and international talents and is backed by very high-profile shareholders. Jumia is committed to creating a sustainable impact in Africa.
 
 
 In April 2019, Jumia was the first Tech company in Africa to be listed on the New York Stock Exchange.
 
 
 What You Will Be Doing
 
 
 <ul>
 <li>
 Support the Data Science team in analyzing large datasets to uncover trends, patterns, and business opportunities.
 </li>
 <li>
 Assist in developing and maintaining data pipelines and ETL processes to ensure data quality and accessibility.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business challenges and contribute to data-driven solutions.
 </li>
 <li>
 Perform exploratory data analysis on topics such as customer behavior, search optimization, catalog management, finance, and commercial performance.
 </li>
 <li>
 Support the development, testing, and monitoring of machine learning models and predictive analytics solutions.
 </li>
 <li>
 Write and optimize SQL queries to extract, transform, and analyze data from various sources.
 </li>
 <li>
 Contribute to data visualization and reporting initiatives to support decision-making across the business.
 </li>
 <li>
 Assist in ensuring data governance, security, and privacy best practices are followed.
 </li>
 <li>
 Stay informed about emerging trends in data science, analytics, artificial intelligence, and machine learning.
 
 
 </li>
 </ul>
 What We Are Looking For:
 
 
 <ul>
 <li>
 A university Graduate or currently pursuing a Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
 </li>
 <li>
 Strong interest in data analytics, machine learning, and solving business problems using data.
 </li>
 <li>
 Good understanding of statistics, probability, and data analysis concepts.
 </li>
 <li>
 Basic to intermediate proficiency in Python and SQL.
 </li>
 <li>
 Familiarity with data manipulation libraries such as Pandas, NumPy, or similar tools.
 </li>
 <li>
 Exposure to machine learning concepts and frameworks such as Scikit-learn, TensorFlow, or PyTorch is a plus.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Google Cloud, or Azure) is a plus but not required.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail.
 </li>
 <li>
 Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
 </li>
 <li>
 Eagerness to learn, take initiative, and contribute to impactful projects.
 
 
 </li>
 </ul>
 
 We Offer
 
 :
 
 
 <ul>
 <li>
 A unique experience in an entrepreneurial, yet structured environment
 </li>
 <li>
 A unique opportunity of having strong impact in building the African e-commerce sector
 </li>
 <li>
 The opportunity to become part of a highly professional and dynamic team
 </li>
 <li>
 An unparalleled personal and professional growth as our longer-term objective is to train the next generation of leaders
 
 
 </li>
 </ul>
 
 Please ensure to only apply for jobs with Jumia through our official website.
 
 
 
 
 Jumia will never charge you a fee to apply for a job: be wary of websites that claim to help you apply for a Jumia job or that charge a fee to get you a job.
 
</div>

Data Scientist Intern - Jumia (Full Time)

Yassir

<div>
 
 Yassir
 
 is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in
 
 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa
 
 . It is backed (:
 
 $200M in funding
 
 ) by VCs from Silicon Valley, Europe and other parts of the world.
 
 
 We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
 
 
 Helping usher the continent into a digital economy era. We&rsquo;re not just about serving people - we&rsquo;re about creating a marketplace to bring people what they need while infusing social values.
 
 
 Yassir is seeking a highly skilled and motivated Senior Data Scientist, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems.
 
 
 
 About The Team
 
 
 
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it.
 </li>
 <li>
 Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others.
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML models
 </li>
 <li>
 Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements - Essential
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices.
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 </li>
 <li>
 Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects
 
 
 
 </li>
 </ul>
 At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
 
 
 Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
 
 
 We look forward to receiving your application!
 
 
 Best of luck,
 
 
 Your Yassir TA Team
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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>

Senior Data Scientist - Financial Services

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.
 
 
 
 
 Key Responsibilities
 
 
 
 
 As a Graduate Internship Trainee in the VITE R&amp;I Team, you will be actively involved in~
 
 
 <ul>
 <li>
 Design and prototype machine learning models tailored for automotive features.
 </li>
 <li>
 Adapt and fine-tune pre-trained large language models (LLMs like GPT, LLaMA) for specific automotive domains.
 </li>
 <li>
 Develop end-to-end pipelines that combine Automatic Speech Recognition (ASR), LLM inference, and Text-to-Speech (TTS).
 </li>
 <li>
 Benchmark various model architectures and optimize parameters for performance.
 </li>
 <li>
 Collaborate on implementing models into proof-of-concept/research projects and integrating prototypes into applications.
 </li>
 <li>
 Write, test, and optimize high-performance C++ code for Linux-based systems.
 </li>
 <li>
 Contribute to the development of system-level or performance-critical C++ applications.
 </li>
 <li>
 Build, configure, and manage projects using CMake or Makefiles, including the integration of third-party libraries.
 </li>
 <li>
 Profile, troubleshoot, and optimize applications, focusing on efficient memory usage.
 </li>
 <li>
 Thoroughly test deployed features to ensure both quality and reliable performance.
 </li>
 <li>
 Document all experiments, findings, and the development process comprehensively.
 </li>
 <li>
 Work with middleware teams to define, implement, and integrate services over the automotive Ethernet stack.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Academic Status~ Must be a 2024- 2025 Graduate.
 </li>
 <li>
 Educational Background~ Bachelor's degree in Mechatronics, Computer Engineering, Computer Science or a closely related field.
 </li>
 <li>
 Language Proficiency~ Excellent command of both English and Arabic (written and verbal communication is essential). French is a strong plus.
 </li>
 <li>
 Solid understanding of supervised and unsupervised machine learning algorithms.
 </li>
 <li>
 Strong proficiency in Python, coupled with experience in at least one major ML framework (TensorFlow or PyTorch).
 </li>
 <li>
 Experience with ASR toolkits (e.g., OpenAI Whisper, Vosk, Kaldi) and TTS frameworks.
 </li>
 <li>
 Basic knowledge of model evaluation metrics and training optimization techniques.
 </li>
 <li>
 Ability to understand and apply concepts from recent academic papers or tutorials.
 </li>
 <li>
 Proficiency with Linux command-line environments (bash, ssh, editors).
 </li>
 <li>
 Experience with C++ fundamentals~ understanding of pointers, memory management, and multithreading concepts.
 </li>
 <li>
 Familiarity with version control (Git) and build systems (CMake, Make).
 </li>
 <li>
 Understanding or coursework in automotive communication protocols like SOME/IP, MQTT, and protobuf.
 </li>
 <li>
 Strong analytical mindset and the ability to translate abstract user requirements into clear technical specifications.
 </li>
 <li>
 Comfortable working in an agile, office-based prototyping environment, capable of rapid feature iteration.
 </li>
 <li>
 Preferred (Plus)~ Experience with network packet capture and analysis tools (e.g., tcpdump, Wireshark).
 </li>
 <li>
 Preferred (Plus)~ Experience with RTMaps.
 
 
 </li>
 </ul>
 
 Program Details
 
 
 
 
 Status~
 
 Full time.
 
 
 
 Location~
 
 On-site.
 
 
 
 Position~
 
 
 
 AI4all
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 Alternant (Fixed Term)
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-05-12
 
 
 
 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>

Graduate In Training Program (GIT), AI Development (Linux)

<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
 
 ~
 
 
 
 <ul>
 <li>
 Design end-to-end differentiable systems that jointly optimize sensor control, illumination patterns, and perception tasks (detection, segmentation)
 </li>
 <li>
 Develop domain adaptation techniques enabling synthetic-to-real transfer without retraining.
 </li>
 <li>
 Implement energy-aware AI models balancing perception quality with power constraints for embedded automotive deployment.
 </li>
 <li>
 Validate systems through real-world vehicle testing across diverse environmental conditions.
 </li>
 <li>
 Publish research at top-tier conferences (CVPR, ICCV, NeurIPS) while delivering production-ready solutions.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 ~
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field.
 </li>
 <li>
 3+ years developing and deploying deep learning and reinforcement learning models
 </li>
 <li>
 Expert-level deep learning (PyTorch/TensorFlow) with custom architecture design.
 </li>
 <li>
 Strong background in object detection, semantic segmentation, neural rendering.
 </li>
 <li>
 Experience with domain adaptation, self-supervised learning, and model optimization for
 </li>
 <li>
 edge devices.
 </li>
 <li>
 Familiarity with ROS, simulation environments (CARLA, Applied Intuition, NVIDIA), and 3D
 </li>
 <li>
 rendering engines.
 </li>
 <li>
 Experience with automotive perception datasets (nuScenes, Waymo Open, KITTI) and
 </li>
 <li>
 benchmarks.
 </li>
 <li>
 Hands-on experience with automotive sensors (cameras, LiDAR, radar, thermal imaging).
 </li>
 <li>
 Knowledge of closed-loop control integration with neural networks.
 </li>
 <li>
 Proficiency in Python, C++, and CUDA programming.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 AI4all, Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-03-18
 
 
 
 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 Engineer, LIGHT

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