AI/ML Engineer

The role involves developing new AI approaches and solutions, experimenting with cutting-edge architectures, and driving innovation across business use cases. Experience in data engineering and cloud platforms is valuable for delivering scalable and high-impact AI capabilities.

• Minimum 2 years of experience in Data Science and Machine Learning
• Knowledge of machine learning, deep learning, and Generative AI (GenAI) techniques
• Proficiency in Python and frameworks like TensorFlow, PyTorch, Pandas, or Scikit-Learn
• Understanding of Natural Language Processing (NLP) techniques such as tokenization, string comparison, and embeddings
• Experience with cloud platforms such as Azure or AWS
• Bachelor's or Master's degree in Computer Science, Engineering, or related field

Nice to have:

• Apply trusted AI practices for fairness, transparency, and accountability in AI models and systems
• Utilize Docker, Kubernetes, and Git to build and manage AI pipelines
• Implement monitoring and logging tools for AI model performance and reliability
• Familiarity with API building using Flask, FastAPI, or similar

• Deliver AI / ML / GenAI projects in enterprise environments
• Lead or significantly contribute to project development
• Understand and apply the Software Development Life Cycle (SDLC)
• Preferably work in automotive and/or financial services environments
• Communicate effectively within the team and stakeholders

English language proficiency is mandatory. Knowledge of French or German is a strong plus.