Machine Learning Engineer

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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.

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.

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