Description

You will design, build, and deploy production-grade machine learning and generative AI solutions on Google Cloud Platform.

This role is remote.

Responsibilities

• Design and fine-tune Generative AI solutions, including RAG systems and agentic frameworks, using models like Google Gemini.
• Build and maintain automated MLOps pipelines for data preprocessing, feature engineering, training, and deployment using Vertex AI.
• Develop and deploy traditional ML models (classification, regression, forecasting) ensuring scalability and reliability.
• Conduct deep data analysis and write complex SQL queries to validate hypotheses and guide feature engineering.
• Partner with data scientists and engineers to define technical requirements and champion software engineering best practices.

Required Skills

• 5+ years of professional experience building and deploying machine learning models in production.
• Advanced proficiency in Python with core data science libraries (PyTorch, scikit-learn, Pandas).
• Hands-on experience with Google Cloud Platform, specifically Vertex AI, BigQuery, and Google Cloud Storage.
• Demonstrable experience in prompt engineering and/or fine-tuning Large Language Models.
• Strong SQL skills for complex data manipulation, aggregation, and analysis.
• Solid understanding of MLOps principles and CI/CD implementation.
• Bachelor's degree in Computer Science, Data Science, Statistics, or a related quantitative field.

Key Skills

Education

Any Graduate