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We are looking for a Machine Learning Engineer to design, build, and support machine learning solutions with a strong emphasis on Python, APIs, and modern LLM-based applications. This role will focus on developing and integrating machine learning and generative AI capabilities into production systems, leveraging cloud infrastructure on Google Cloud Platform (GCP).
Job Responsibility:
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
Requirements:
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
Nice to have:
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