Senior Machine Learning Engineer

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