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 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
- 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