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