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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 MLOps
Experience with GCP services, including AI Platform and Cloud Functions
Experience 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 management
Familiarity with DevOps concepts and cloud based CI/CD tools
Experience with GitHub for version control
Strong understanding of Agile methodologies
Job ID: 132705051