Senior AI Data Scientist

About the Position

AI Data Scientist - Hybrid (2 to 3 days per week at the office)

We are looking for an expert Data Scientist to collaborate on one of our client’s many AI and data science projects, focusing on NLP, GenAI, and core data science activities.

Responsibilities

• Collaborate on AI and data science projects
• Focus on NLP, GenAI, and core data science activities

Requirements

Mandatory:

• Senior Level - At least 5 years of direct professional experience in Data Science / ML projects.
• Senior Level - Professional experience in end-to-end data science / machine learning initiatives, encompassing data understanding, preparation, modelling and evaluation, and deployment.
• Senior Level - Solid command of data science concepts and principles - especially around EDA, modelling and evaluation.
• Senior Level - Professional experience with Python and industry standard Python data science / ML frameworks (e.g. scikit, pytorch, keras, opencv, pandas, others).
• Senior Level - Professional experience in data preparation/transformation (e.g. SQL, pandas).
• Mid-Level - Experience with LLM, RAG, prompt engineering and Generative AI (e.g. OpenAI, Bedrock).

Highly Preferred:

• Mid-Level - Direct professional experience with cloud infrastructure is mandatory, AWS is highly preferred.
• Mid-Level - Professional experience with MLOps solutions (e.g. MLflow, Databricks).
• Mid-Level - Professional experience with software engineering best practices and tools (Git, CI/CD, unit testing).

We Offer

• Hybrid work model (2 to 3 days per week at the office)
• Opportunity to work on cutting-edge AI and data science projects

About the Company

[Company description if present]