AI Engineer

Il y a 4 heures

vlaanderen belgium vlaanderen belgium, Flanders Common Sense AI Temps plein
ph3About the role /h3 pWe’re looking for an bAI Engineer /b who sits comfortably at the intersection of bdata science, machine learning, and Generative AI /b. /p pYou’ll work on real-world AI solutions, from classical ML models to LLM-powered applications, and take them ball the way from idea to production /b. This is not a research-only role, and not a pure software role either: it’s about bapplied AI that delivers business impact /b. /p pYou’ll collaborate closely with data, engineering, and business stakeholders, and help shape how AI is used responsibly and effectively. /p h3What you’ll do /h3 ulliDesign, build, and evaluate bmachine learning models /b (classification, regression, forecasting, NLP, etc.) /liliDevelop bGenerative AI solutions /b (LLMs, RAG pipelines, prompt engineering, agents) /liliTranslate business problems into bAI use cases /b with measurable impact /liliPrepare, explore, and model data using strong data science foundations /liliBuild bproduction-ready AI systems /b (APIs, pipelines, monitoring, retraining) /liliWork with cloud and MLOps tooling to deploy and maintain models /liliCommunicate clearly with both technical and non-technical stakeholders /liliStay up to date with evolving AI and GenAI best practices /li /ul h3What you bring /h3 ulliStrong foundation in bdata science machine learning /b /liliHands-on experience with bPython /b and ML libraries (e.g. scikit-learn, PyTorch, TensorFlow) /liliExperience with or strong interest in bGenerative AI / LLMs /b (e.g. RAG, embeddings, prompt engineering) /liliSolid software engineering mindset (clean code, version control, testing) /liliFamiliarity with bcloud platforms /b (Azure, AWS, or GCP) and deployment patterns /liliComfort working across the full AI lifecycle: data → model → production /liliCurious, pragmatic, and impact-driven mindset /li /ul h3Nice to have /h3 ulliExperience with bMLOps /b (CI/CD, MLflow, feature stores, monitoring) /liliExperience with bLLM orchestration frameworks /b (e.g. LangChain, LlamaIndex) /liliExperience in bregulated or enterprise environments /b /liliConsulting or client-facing experience /li /ul h3Why join us /h3 ulliWork on breal AI solutions /b, not demos or slideware /liliHigh ownership and autonomy /liliExposure to both bclassical ML and cutting-edge GenAI /b /liliStrong focus on quality, responsibility, and long-term impact /liliOpportunity to grow into btechnical lead or solution architect /b roles /li /ul /p