Machine Learning Engineer (W/M/D)

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Machine Learning Engineer (W/M/D)Full-time Compensation: EUR 55000 - EUR 70000 - yearlyCompany DescriptionJobTeaser – Our young grads got talent.At JobTeaser, we believe the new generation is the future of business, and that young talent has so much to offer to the professional world and society as a whole.But finding your path as a student? That’s not easy.And for companies, understanding and recruiting this generation isn’t any simpler.That’s where we come in.JobTeaser is the career space of 800+ European schools and universities, seamlessly integrated into their Student Hubs.👨‍🎓 For students: a platform and tools to help them find their path, showcase their skills, and land an internship, a work-study program, or their very first job that truly fits them.💼 For companies: privileged access to the best young talent, even before they officially enter the job market.🏫 For schools & universities: a complete career and recruitment platform to boost students’ employability.Today, we support over 2 million students and young graduates across Europe.And you: are you ready to make an impact on the new generation?  Job DescriptionYour missionsDesign, develop, and deploy end-to-end ML and AI pipelines, from problem framing and experimentation through to production.Build and maintain robust data and ML pipelines for model training, evaluation, and deployment, develop LLM-powered features including RAG, structured prompting, few-shot learning, and OCR integration.Implement and evolve ML/LLMOps practices: model versioning, production monitoring, reproducibility, and continuous improvement.Develop APIs and microservices to expose ML/AI models to business applications.Analyze large datasets, identify modeling challenges, propose solutions, and iterate quickly.Collaborate closely with Data, Product, and Engineering teams to turn prototypes into scalable, reliable production solutions.Stay current on academic and industrial advances in Machine Learning, LLMs and emerging AI technologies and apply them to real-world use cases.Contribute to best practices in testing, CI/CD, and deployment automation.QualificationsYou hold a Master's degree (or equivalent) in Computer Science, Applied Mathematics, Data Science, or a related quantitative field.You have 3 to 5 years of experience developing and deploying Machine Learning models in production environments.You are proficient in Python and have hands-on experience with major ML/AI frameworks (scikit-learn, XGBoost, LightGBM, HuggingFace Transformers, DSPy…), we value practical experience and adaptability over specific tools.You have solid knowledge of ML/LLMOps tools (MLflow, Kubeflow, DVC, DeepEval or similar) and ML-oriented DevOps practices.You have experience with cloud platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) and containerization (Docker, Kubernetes).You are comfortable with SQL and knowledgeable in feature engineering and data preprocessing best practices.You have a pragmatic, analytical, and results-oriented mindset: you favor frequent iterative deliveries over long research tunnels.You enjoy working in cross-functional teams (Data, Tech, Product) and can translate business needs into concrete ML/AI solutions.You are autonomous, curious, and comfortable in a fast-evolving ecosystem.Professional proficiency in English, bilingual in French. Package: 55.000 Euro to 70.000 Euro - fix salary onlyAdditional InformationAt JobTeaser, get ready to…💚 Join a mission-driven company with a concrete impact on the new generation.🌏 Share our three core virtues with our people all over Europe: #Committed, #OneTeam, #DrivEn.🚀 Take part in a dynamic internal life, where everyone can contribute (all-hands, local parties, team drinks, team-buildings, etc.).📚 Grow and develop your career with a strong training policy, including an annual individual budget for learning opportunities (95% of our employees were trained...