Senior Machine Learning Engineer

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