Data Scientist creating AI solutions like Machine Learning and NLP for Klee Group. Joining a team focused on digital transformation and data strategy.
Responsibilities
Design, develop and industrialize innovative AI solutions based on Machine Learning, Deep Learning, Generative AI, NLP and Multi-Agent architectures
Contribute to interactions with business teams: scoping and analysis of their needs, feasibility assessments, participation in client workshops
Ensure the methodological and technical quality of projects
Participate in change management: deployment, training, and user support
Advise and assist clients in identifying business cases, understanding their data assets, and implementing data governance
Collaborate closely with Klee’s team of data scientists, data engineers and other specialists
Keep up-to-date with technological developments in data science and AI
Support commercial development activities: participation in pre-sales, cost estimates, pitches and demonstrations
Requirements
Master’s degree (equivalent to Bac+5) or a PhD in Computer Science, AI, or a related field
3 to 8 years of experience in Machine Learning, NLP, Generative AI (LLMs, RAG), Statistical Analysis, Deep Learning, and building data pipelines for value extraction
Familiarity with cloud platforms such as Azure, AWS, GCP or Databricks is highly desirable
Proficiency in Python and associated libraries (e.g., OpenAI, TensorFlow, PyTorch, Scikit-Learn, Pandas…)
Knowledge of frameworks such as LangChain or LlamaIndex is a plus
Familiarity with CI/CD and MLOps practices and related tools (e.g., Git, Jira, Terraform, Kubernetes)
Certifications in AI tools are a plus
Experience working on Agile projects
Ability to collaborate in French and English (written and spoken)
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