Project description:

The role includes developing new AI approaches and solutions, experimenting with cutting-edge architectures and driving innovation across business use cases. Additionally, experience in data engineering and cloud platforms will be valuable in delivering scalable and high‑impact AI capabilities.

Main responsibilities:

Proven experience delivering AI / ML / GenAI projects in enterprise environments Demonstrated ability to lead or significantly contribute to project development Strong understanding of the Software Development Life Cycle (SDLC) Experience working in automotive and/or financial services environments is highly preferred Strong communication skills English: mandatory French or German: strong plus

Requirements:

• 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 programming language and frameworks like TensorFlow, PyTorch, Pandas or Scikit-Learn.

• Understanding of Natural Language Processes (NLP) techniques such as tokenization, string comparison and embeddings.

• Experience with cloud platforms such as Azure or AWS.

• Good communication and interpersonal skills, with the ability to collaborate effectively with team.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Nice to have:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.

• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.

• Implement monitoring and logging tools to ensure AI model performance and reliability.

• Familiar with API building using Flask, FastAPI or similar.