Responsibilities
- Design, develop, and maintain machine learning solutions using Python
- Build and integrate Python-based APIs to support ML and LLM-driven applications
- Develop and deploy LLM and generative AI workflows using frameworks such as LangChain and LangGraph
- Apply machine learning techniques to solve real-world business problems
- Deploy and operate ML workloads on Google Cloud Platform (GCP)
- Collaborate with cross-functional teams to integrate ML capabilities into production systems
- Ensure solutions follow best practices for performance, scalability, and reliability
Basic qualifications
- Strong proficiency in Python for machine learning and backend development
- Hands-on experience working with machine learning models in production environments
- Practical experience with LLMs and Generative AI use cases
- Experience building and consuming Python-based APIs
- Working knowledge of Google Cloud Platform (GCP)
- Understanding of ML workflows, model experimentation, and deployment
Preferred qualifications
- Experience with LangChain and LangGraph
- Familiarity with modern GenAI architectures and tooling
- Experience deploying ML or AI services in cloud environments
- Background in building scalable, production-grade ML systems
Tags & focus areas
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