Identify and implement the most suitable AI solutions for client use cases, leveraging in-depth analysis of technical and functional specifications
Job Summary
Identify and implement the most suitable AI solutions for client use cases, leveraging in-depth analysis of technical and functional specifications.
Oversee the complete Data Science project lifecycle, from conceptualization to integration into production systems, including the development of POCs/POVs.
Benefit from an innovative technological environment with access to cutting-edge tools like the Tech Lab, Copilot M365, and the AI Factory.
Matching Summary
Identify and implement the most suitable AI solutions for client use cases, leveraging in-depth analysis of technical and functional specifications.
Skills & Requirements
Must-have
Generative AI solutions
Data Science and AI project lifecycle
Machine Learning, NLP, Deep Learning
Python, SQL, and data analysis tools
Azure, GCP, AWS cloud environments
Nice-to-have
Agile project management methodologies
Continuous innovation and MLOps/LLMOps
Strong written and oral communication
Key Requirements
Minimum 6 years of professional experience
Higher education in mathematics/statistics, Data Science, and AI
Experience in enterprise or consulting environments
Experience with LLM frameworks and methods
Experience implementing AI or GenAI projects (PoC, MVP, Pilot)