Role : Senior Machine Learning Engineer
Experience Level : 3+ Years
Work location : Bangalore / Mumbai
Notice Period : 0-30 days
Key Responsibilities :
- Experience in AI / ML, with a track record of working in large-scale programs and solving complex use cases using GCP AI Platform / Vertex AI
- Exceptional command in Agentic AI architecture, development, testing, and research of both Neural-based & Symbolic agents, using current-generation deployments and next-generation patterns / research
- Expertise in building agentic systems using techniques including Multi-agent systems, Reinforcement learning, flexible / dynamic workflows, caching / memory management, and concurrent orchestration. Proficiency in one or more Agentic AI frameworks such as LangGraph, Crew AI, Semantic Kernel, etc.
- Collaborate with onshore and offshore SMEs to address issues and implement improvements
- Utilize SQL, Python, and MLOps to manage and optimize data and model workflows
- Leverage GCP services, including AI Platform and Cloud Functions, for efficient processing and deployment
- Implement and manage workflows using Airflow
- Work with Snowflake and Oracle databases to ensure data integrity and accessibility
- Use GitHub for version control and collaboration
- Apply Agile methodologies to manage projects and deliver solutions effectively
Required Skills :
Proficiency in SQL, Python, and MLOpsExperience with GCP services, including AI Platform and Cloud FunctionsExperience in Terraform.Agentic AI : Expertise in LangChain / LangGraph, CrewAI, Semantic Kernel / Autogen and Open AI, Agentic SDK.Generative AI : Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP)Familiarity with Airflow for workflow managementFamiliarity with DevOps concepts and cloud based CI / CD toolsExperience with GitHub for version controlStrong understanding of Agile methodologies