Senior Machine Learning Engineer

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