Role : Senior Machine Learning Engineer
Experience Level : 3-6 years
Work location : Bangalore / Mumbai
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 improvementsUtilize SQL, Python, and MLOps to manage and optimize data and model workflowsLeverage GCP services, including AI Platform and Cloud Functions, for efficient processing anddeployment
Implement and manage workflows using AirflowWork with Snowflake and Oracle databases to ensure data integrity and accessibilityUse GitHub for version control and collaborationApply Agile methodologies to manage projects and deliver solutions effectivelyRequired Skills :
Proficiency in SQL, Python, and MLOpsExperience with GCP services, including AI Platform and Cloud FunctionsAgentic AI : Expertise in LangChain / LangGraph, CrewAI, Semantic Kernel / Autogen and Open AI, Agentic SDKGenerative 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