Key responsibilities include:
Strong hands-on experience with Python.
Proficiency in Google Cloud Platform (GCP) and Azure Cloud.
Experience with Vertex AI Pipelines.
Expertise in CI/CD setup, Cloud Build, and GitHub Actions.
Proficient in Docker and container orchestration.
Experience with YAML for configuration and infrastructure.
Familiarity with LLM models and GenAICollaborate with data engineers and DevOps teams to ensure seamless integration and deployment.
Write and maintain infrastructure as code using YAML. Implement and manage CI/CD pipelines for ML workflows.Work with GitHub for version control and collaboration.
Ensure model governance and compliance using protocols like Model Context Protocol and A2A Protocol. Participate in code reviews, design discussions, and team planning sessions.
Experience
8+ years of experience in ML/AI engineering roles.
Experience working in agile and fast-paced environments.
Must have technical / professional qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
Strong team collaboration and version control using GitHub.
Design, develop, and deploy ML and GenAI solutions using Python and LLM frameworks.
Build and manage ML pipelines using Vertex AI Pipelines and CI/CD tools like Cloud Build and GitHub Actions.
Containerize applications using Docker and manage deployments on Google Cloud Platform (GCP) and Azure