Key Responsibilities

• Develop and maintain scalable ML pipelines using Python and Scikit-Learn.
• Build and integrate LLM-based applications using LangChain and related frameworks.
• Design data workflows using Pandas, NumPy, and BigQuery for efficient data processing.
• Collaborate with cross-functional teams to deploy models and services in production.
• Optimize performance, reliability, and scalability of ML systems.
• Implement CI/CD pipelines for ML deployment and monitoring.
• Contribute to internal tooling and automation for model lifecycle management.
• Ensure compliance with data governance, privacy, and security standards.

Key Capabilities/Experience

• 5+ years of professional experience in Python development, with a strong focus on data and ML applications.
• 2+ years of hands-on experience with LangChain and LLMs (e.g., VertexAI).
• 3+ years working with Pandas, NumPy, and data manipulation techniques.
• 3+ years of experience with Google BigQuery or similar cloud data platforms.
• 3+ years of experience building ML models using Scikit-Learn, including deployment and monitoring.
• Experience with Docker, Kubernetes, and CI/CD pipelines in production environments.
• Solid understanding of SQL and exposure to NoSQL systems.
• Familiarity with ML lifecycle tools (e.g., MLflow, DVC) and software engineering best practices.