Data Engineer - AI/ML

Required Qualifications
Experience: 3+ years of professional experience building and deploying machine learning models in a production environment.
Education: Bachelor's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
Programming: Advanced proficiency in Python and its core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas).
Data & SQL: Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis.
Generative AI: Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini).
Cloud Platform: Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform (Google Cloud Platform).
MLOps: Solid understanding of MLOps principles and experience with related tools (e.g., Vertex AI, CI/CD).

Preferred Qualifications (Nice-to-Haves):
Master’s or PhD in a relevant field.
Specific experience with Google Cloud Platform services like Vertex AI, BigQuery, Google Cloud Storage, and GKE.
Experience building RAG systems from the ground up.
Proven ability to lead technical projects and mentor other engineers.