Overview
In this role you will architect, train and deploy machine learning systems that power predictive maintenance, automated classification, and advanced marketing experiences for the automotive sector. You will own end-to-end ML stacks, collaborate with product and engineering teams, and drive experimentation and rapid delivery. You’ll push boundaries with cutting‑edge ML and MLOps in cloud‑first architectures to deliver measurable business impact. This is a hands‑on, fast‑moving position for someone who values craft, impact, and learning at scale.
Benefits
- Own the ML stack from design to deployment and optimization
- Build scalable models that deliver measurable business outcomes
- Collaborate with product, data, and engineering teams to translate problems into solutions
- Lead A/B testing and experimentation to quantify impact
- Mentor and uplift the data science and engineering community
- Advance with cutting‑edge ML, MLOps, and cloud‑first architectures (AWS, Kubeflow, SageMaker)





Responsibilities
- 3+ years building and deploying ML systems in product‑focused environments
- Deep experience with Python and modern ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost)
- Strong grounding in deep learning, predictive analytics, and applied statistics
- Proven experience shipping scalable models in production, ideally on AWS or similar cloud platforms
- Builder mindset with fast experimentation and willingness to work with imperfect data
- Ability to translate technical depth into business impact and influence strategy via data

Requirements
- Meal Vouchers (7 per working day)
- 26 days holidays + national bank holidays
- Individual training paths
- Opportunity to develop and move within the company
- National and international mobility options
- Yearly team activities

📌 Senior Machine Learning Engineer (Lombardia)
🏢 Experteer Italy
📍 Lombardia