AI and ML Manager - Corporate Technology

Crisil

9 - 12 years

0 Lacs

pune maharashtra india

Posted:1 week ago| Platform:

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Skills Required

ai ml technology design development deployment power analytics collaborative drive architecture tuning monitoring model interfacing nosql sql data retrieval engineering pipeline automation evaluation transparency github statistics mathematics learning vision python numpy tensorflow pytorch coding azure aws gcp sourcing communication presentation

Work Mode

On-site

Job Type

Full Time

Job Description

As an AI Manager, the candidate will spearhead the design, development, and deployment of GenAI solutions that power our next-gen analytics platforms.

Lead and mentor a dynamic team of 3–5 AI engineers, fostering a collaborative, growth-first culture.
Drive end-to-end architecture, from ideation and LLM fine-tuning to cloud-based deployment and monitoring of GenAI applications in financial analytics.
Implement agentic AI design patterns, building on frameworks like Autogen, LangGraph, CrewAI – or develop bespoke agentic architectures from the ground up.
Integrate advanced GenAI frameworks, leveraging recent advancements such as Model Context Protocols (MCP) and Agent-to-Agent (A2A) frameworks for complex analytic workflows.
Ensure seamless interfacing with a range of databases, including vector databases, NoSQL, and SQL, for robust data ingestion and retrieval.
Collaborate cross-functionally with product leaders, data scientists, and engineering teams to deliver user-centric and enterprise-grade AI features.
Champion best practices in pipeline automation, model evaluation, ethical AI usage, and continuous system improvement.
Promote transparency through open-source contributions; GitHub or Kaggle visibility is highly valued.

What's in your toolkit?

A bachelor's or master's degree in computer science, statistics, mathematics, engineering, or a related field.
9 to 12 years of experience in machine learning, computer vision with a special emphasis on large language models.
Proficiency in Python and its data science libraries such as pandas, numpy, TensorFlow, pytorch and HuggingFace, LangChain or Haystack.
Should be able to demonstrate good coding principles.
Should be hands on with latest in RAG practices and SLM fine tuning.
Hands-on experience deploying and maintaining data science solutions on cloud platforms like Azure, AWS, or GCP.
Has experience in sourcing data from SQL and NoSQL db. A basic knowledge of databases is a must.
A Kaggle profile that reflects your expertise will be an added advantage.
Excellent communication and presentation skills are mandatory.
The ability to balance independent and collaborative work in a fast-paced environment.

Educational Background:

Bachelor’s or Master’s degree from premier Indian institutes (IITs, IISc, NITs, BITS, IIITs etc.) in:
Computer Science
Any Engineering discipline
Mathematics or related quantitative fields.

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