While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role: Senior Machine Learning Engineer Experience
Experience : 3+ Years
Work location: Mumbai, Bangalore & Trivandrum
Notice Period: 0-45 days
Roles & 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
Must have 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
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
