About this role
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.