About this role
<p style="margin:0.0cm 0.0cm 6.0pt;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Who we are.</span></strong></p> <p style="margin:0.0cm 0.0cm 6.0pt;font-size:11.0pt;font-family:Calibri, sans-serif"><span style="font-size:10.0pt;font-family:Biennale">We are a team of passionate experts with a clear ambition: applying digital technology to <strong>advance</strong> <strong>what matters</strong> for our clients and society.</span></p> <p style="margin:0.0cm 0.0cm 6.0pt;font-size:11.0pt;font-family:Calibri, sans-serif"><span style="font-size:10.0pt;font-family:Biennale">Together we create reliable and responsive <strong>digital foundations</strong> for the world’s businesses, institutions, and communities.</span></p> <p style="margin:0.0cm 0.0cm 6.0pt;font-size:11.0pt;font-family:Calibri, sans-serif"><span style="font-size:10.0pt;font-family:Biennale">Learn more on <a href="https://atos.net/advancing-what-matters/en/">Advancing what matters</a><u>.</u></span></p><p style="margin:0.0cm 0.0cm 6.0pt;font-size:11.0pt;font-family:Calibri, sans-serif"> </p> <p style="margin:0.0cm 0.0cm 6.0pt;font-size:11.0pt;font-family:Calibri, sans-serif"><span style="font-size:10.0pt;font-family:Biennale">Atos is hiring a <strong>Lead AI Engineer</strong> to build and operate the model, infrastructure, and data layer of the Belgium AI delivery practice. The role trains and fine-tunes custom large and small language models for project use, builds and administers the AI infrastructure those models run on, and leads the data management, modelling, and integration work that every AI project depends on.</span></p> <h1 style="margin:16.0pt 0.0cm 8.0pt;font-size:15.0pt;font-family:Calibri, sans-serif;color:#1f3a5f"><span style="font-size:10.0pt;font-family:Biennale;color:windowtext">Key Responsibilities</span></h1> <ul style="margin-bottom:0.0cm;margin-top:0.0px"> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Build and train custom LLMs and SLMs.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> Fine-tune, align, and adapt models for project needs.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Create and administer the AI infrastructure.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> Set up compute, serving, orchestration, autoscaling, and cost controls.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Lead data management for AI projects.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> Build pipelines, vector stores, feature stores, and lineage tracking.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Lead modelling decisions across the portfolio.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> Choose the right approach: foundation model, fine-tune, or custom SLM.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Lead AI integration into project codebases.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> Connect models with project and client systems through APIs, retrieval layers, and agent frameworks.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Run the evaluation harness for trained models.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> Define metrics, test sets, and CI-based quality gates.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Partner with the AI Governance and Platform Lead on governance.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> Provide model cards, data lineage, evaluation results, and prompt documentation.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Mentor delivery-team engineers.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> Support teams on model selection, fine-tuning, and data-quality practices.</span></li> </ul> <h1 style="margin:16.0pt 0.0cm 8.0pt;font-size:15.0pt;font-family:Calibri, sans-serif;color:#1f3a5f"><span style="font-size:10.0pt;font-family:Biennale;color:windowtext">Required Qualifications</span></h1> <ul style="margin-bottom:0.0cm;margin-top:0.0px"> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><span style="font-size:10.0pt;font-family:Biennale">Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or equivalent experience.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">6+ years</span></strong><span style="font-size:10.0pt;font-family:Biennale"> in ML engineering, deep learning, or AI platform engineering.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">3+ years</span></strong><span style="font-size:10.0pt;font-family:Biennale"> training, fine-tuning, or deploying LLMs in production.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Experience with model tuning techniques</span></strong><span style="font-size:10.0pt;font-family:Biennale"> such as LoRA, QLoRA, instruction tuning, RLHF, or DPO.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Knowledge of model-serving runtimes</span></strong><span style="font-size:10.0pt;font-family:Biennale"> and GPU infrastructure on a major cloud platform.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Strong data engineering background</span></strong><span style="font-size:10.0pt;font-family:Biennale"> across pipelines, vector stores, feature stores, and lineage tracking.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Senior-level Python skills</span></strong><span style="font-size:10.0pt;font-family:Biennale"> with PyTorch and modern AI tooling.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Good understanding of evaluation methodology</span></strong><span style="font-size:10.0pt;font-family:Biennale">, hallucination measurement, and retrieval failure analysis.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Production experience</span></strong><span style="font-size:10.0pt;font-family:Biennale"> taking at least one significant model from training to live operation.</span></li> </ul> <h1 style="margin:16.0pt 0.0cm 8.0pt;font-size:15.0pt;font-family:Calibri, sans-serif;color:#1f3a5f"><span style="font-size:10.0pt;font-family:Biennale;color:windowtext">Preferred Qualifications</span></h1> <ul style="margin-bottom:0.0cm;margin-top:0.0px"> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Experience training small language models</span></strong><span style="font-size:10.0pt;font-family:Biennale"> or running continued pretraining.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Hands-on RAG experience</span></strong><span style="font-size:10.0pt;font-family:Biennale"> at scale, including chunking, embeddings, reranking, and evaluation.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Experience with sovereign EU AI stacks</span></strong><span style="font-size:10.0pt;font-family:Biennale"> for model training or serving.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Hands-on with agent frameworks</span></strong><span style="font-size:10.0pt;font-family:Biennale"> in production environments.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">AI FinOps experience</span></strong><span style="font-size:10.0pt;font-family:Biennale"> covering cost control, right-sizing, caching, and workload optimisation.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Open-source contributions, papers, or talks</span></strong><span style="font-size:10.0pt;font-family:Biennale"> are a plus.</span></li> </ul> <h1 style="margin:16.0pt 0.0cm 8.0pt;font-size:15.0pt;font-family:Calibri, sans-serif;color:#1f3a5f"><span style="font-size:10.0pt;font-family:Biennale;color:windowtext">Technical Skills</span></h1> <ul style="margin-bottom:0.0cm;margin-top:0.0px"> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Modelling.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> PyTorch, Hugging Face, DeepSpeed, Accelerate, vLLM, TGI, LoRA/QLoRA, DPO, and RLHF.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Inference and serving.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> vLLM, TGI, Triton, Ray Serve, SageMaker, AWS Bedrock, autoscaling, and latency/cost optimisation.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Data.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> Databricks, Snowflake, vector stores, feature stores, knowledge graphs, and lineage tools.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Cloud and compute.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> AWS, Azure, GCP, Kubernetes, Docker, GPU infrastructure, and sovereign EU stacks.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Evaluation.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> Langfuse, Arize Phoenix, Ragas, DeepEval, Promptfoo, OpenAI Evals, and custom evaluation harnesses.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Languages.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> Senior-level Python plus TypeScript, Go, or Rust for production integration.</span></li> <li style="margin:0.0cm 0.0cm 0.0cm 0.0px;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Engineering practice.</span></strong><span style="font-size:10.0pt;font-family:Biennale"> Typed boundaries, testing, CI/CD, and infrastructure-as-code.</span></li> </ul> <p style="margin:0.0cm 0.0cm 6.0pt;font-size:11.0pt;font-family:Calibri, sans-serif"> </p><p style="margin:0.0cm 0.0cm 6.0pt;font-size:11.0pt;font-family:Calibri, sans-serif"><strong><span style="font-size:10.0pt;font-family:Biennale">Learn more about us:</span></strong></p> <p style="margin:0.0cm 0.0cm 6.0pt;font-size:11.0pt;font-family:Calibri, sans-serif"> </p> <p style="margin:0.0cm 0.0cm 6.0pt;font-size:11.0pt;font-family:Calibri, sans-serif"><span style="font-size:10.0pt;font-family:Biennale">At Atos, we embrace diversity as the ultimate engine of ingenuity for our clients, and we constantly strive to create a culture where people feel supported and encouraged. Read more about our commitment <a href="https://www.thevaluable500.com/member/atos">here</a> . </span></p> <p style="margin:0.0cm 0.0cm 6.0pt;font-size:11.0pt;font-family:Calibri, sans-serif"> </p> <p style="margin:0.0cm 0.0cm 6.0pt;font-size:11.0pt;font-family:Calibri, sans-serif"><span style="font-size:10.0pt;font-family:Biennale">Whether it is fighting climate change, promoting digital inclusion, or ensuring trust in data management – tech for good sits at the core of our identity. With numerous global recognitions for our ESG practices, we are committed to building a better future for all by harnessing the power of technology. Learn more <a href="https://atos.net/en/2023/press-release_2023_03_08/atos-ranked-in-top-50-most-sustainable-companies-in-the-world-with-seal-2022-business-sustainability-award-bsa">here</a><u>.</u></span></p> <p style="margin:0.0cm 0.0cm 6.0pt;font-size:11.0pt;font-family:Calibri, sans-serif"> </p>