- Role: Machine Learning Engineer
- Experience Level: 3+ Years
- Work location: Mumbai/ Bangalore/ TRV

- Key Responsibilities:
- Experience in AI/ML, with a track record of working in large-scale programs and solving complex use cases using GCP/AWS
- 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
- 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




- Own ML/NLP tasks endtoend, from design through deployment and operational support
- Deploy and maintain production ML components within an existing legacy system
- Build and operate reliable pipelines for text ingestion, preprocessing, inference, and delivery

- Required Skills:
- Proficiency in SQL, Python, and MLOps with experience with FastAPI, Asynio, & Pydantic.
- Experience with GCP/AWS services
- 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
- Demonstrated experience deploying, testing, and supporting ML systems in production
- Familiarity with DevOps concepts and cloud based CI/CD tools
- Experience with GitHub for version control
- Robust understanding of Agile methodologies
- Strong handson experience with Snowflake, including SQL and largescale data workflows

📌 Machine Learning Engineer (Maharashtra)
🏢 Quantiphi Analytics Solutions
📍 Maharashtra