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.