## Company Description **JobTeaser – 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 Description **Your missions** - Design, 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. ## Qualifications - You 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 only ## Additional Information **At 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 last year!). - 🏡 Enjoy our flexible work environment: remote-friendly, with one month per year from anywhere in Europe, and home office equipment support. Some positions can even be fully remote. - 👨‍👩‍👧‍👦 Benefit from our **Family Care Policy**: 4 additional paid days off during your return month from parental leave, 3 paid child-sick days per year, and other initiatives to support parents. - 🧠 Take care of your mental health with **Moka Care**: 4 free therapy or coaching sessions per year (with additional support in challenging personal situations), plus regular workshops for managers in partnership with Moka Care and Alan. - 🗣️ Make your voice count: our **Take Care Survey** (run twice a year) ensures employee feedback directly shapes JobTeaser’s culture, collaboration and cross-team work. - ⏰ Protect your focus time with our **No-Meeting Wednesday mornings** initiative. - 🤝 Collaborate closely with our **CSE**, actively involved in enhancing work life and benefits (with the HappyPal platform) - 💸 Enjoy the essentials: RTT, health insurance, lunch vouchers, holiday bonus, and 50% public transport reimbursement. - 🚆 A modern and well-located office at WeWork - including delicious barista coffee and free yoga lessons. - 🤩 Be proud: 88% of our employees say they are proud to work in their team at JobTeaser (Internal Take Care Survey, November 2024). **Your hiring process and the next steps** In order to identify the perfect fit for us (and also for you!), we offer a comprehensive hiring process with the possibility to get to know all your future key team members, and between each step of your process, you will receive constructive feedback from our Talent team. 1. A 30-min screening call to get to know you better with one of our Talent Acquisition Specialists 2. An interview with your future manager to discuss about your experiences and motivations 3. One or several focus interview that can include business cases to test your hard skills 4. A final round with your Department Head to confirm the mutual match 5. Welcome at JobTeaser 💚 *We are committed to creating a working environment where everyone feels comfortable. We promote diversity within our teams and every application we receive is screened through a unique, pre-established, competency-based process.*