Capgemini is looking for a Senior Machine Learning Engineer to join as a consultant. You will work directly with a major automotive client to design and deliver end-to-end ML solutions and AI products that improve safety, efficiency, and customer experience across their global operations.
What You'll Do
- Translate complex business challenges into well-defined ML problems, define success metrics, and deliver impactful solutions.
- Own the full ML/AI product lifecycle, including designing, building, deploying, and operating production-grade systems with CI/CD, monitoring, versioning, and observability.
- Monitor and optimize model performance by tracking drift, evaluating results, and collaborating with stakeholders to identify when models need updates or redesign.
- Collaborate and uplift others through knowledge sharing, mentoring, code reviews, documentation, and cross-functional teamwork.
What We're Looking For
- Strong applied Machine Learning & Data Science expertise, including statistics, experimentation, feature engineering, drift detection, classification, anomaly detection, reinforcement learning, NLP, explainable AI, and risk/fraud modelling.
- Solid Engineering & MLOps skills with proficiency in Azure, Databricks, Python, SQL, Git, and modern MLOps practices like Azure Pipelines, Databricks Jobs, observability, and Docker.
- A collaborative, adaptive, and impact-driven mindset that combines strategic thinking with hands-on execution, clear communication, and the ability to contribute positively to a culture of trust and curiosity.
Nice to Have
- Experience with Large Language Models (LLMs) for text analysis.
- Domain knowledge in automotive or vehicle data, or in quality and warranty analytics.
Technical Stack
- Azure, Databricks, Python, SQL, Git, Docker
Team & Environment
You'll join a community of over 550 specialists in the Nordics as part of the Insights & Data team.
Benefits & Compensation
- Flexibility that works for you—with remote options and flexible hours.
- Continuous career growth with diverse, personalized development pathways.
- Opportunities for certifications in the latest technologies through partnerships with Google, Microsoft, Amazon, and Databricks.
Work Mode
This role follows a hybrid work model and is located in the Nordics.
We are an equal opportunity employer and welcome applicants of all genders and identities, backgrounds, and abilities.
