Machine Learning Engineer

Role - AI/ML Engineer:

Location - Pune (Magarpatta) | 100% WFO

Experience Range - 4 to 9 Yrs

Budget - 16 LPA to 22 LPA

Role Overview

We are looking for a mid-level AI/ML Engineer who can play a key role in building and

integrating AI capabilities into our core platforms.

This is not a support or experimental role—this position offers the opportunity to drive real-

world AI use cases that directly impact product innovation and business outcomes.

You will work closely with cross-functional engineering teams (React, Python, Java) and

take ownership of designing, developing, and deploying AI-driven solutions.

Key Responsibilities

• Identify and define high-impact AI use cases across our platforms

• Design and develop AI/ML models and solutions, including:

o LLM-based applications (GenAI use cases)

o Recommendation systems

o Intelligent automation workflows

• Integrate AI solutions into existing products and systems

• Collaborate with product, engineering, and business teams to align AI initiatives

with customer and revenue goals

• Build scalable APIs and services for AI-powered features

• Continuously evaluate and adopt emerging AI technologies and frameworks

Key Use Cases You May Work On

• AI-driven insights and recommendations for platform users

• Automation of research and report generation

• Sales intelligence and lead scoring models

• Internal productivity tools powered by AI

• Enhancing customer experience through smart interfaces and conversational AI

Required Skills & Experience

• 4–10 years of experience in AI/ML development

• Strong programming skills in Python

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-

learn)

• Hands-on experience with LLMs / Generative AI / NLP

• Experience in building and deploying APIs and scalable solutions

• Understanding of data structures, algorithms, and system design

• Experience working with backend technologies (Python/Java) and integration with

frontend frameworks is a plus

Preferred Skills

• Experience with LLM frameworks (LangChain, vector databases, RAG

architectures)

• Exposure to cloud platforms (AWS/GCP/Azure)

• Experience in product-based or platform-driven environments

What Makes This Role Exciting

• Opportunity to build AI capabilities from the ground up

• Direct impact on live, revenue-generating platforms

• High visibility and collaboration with leadership and product teams

• Work in a fast-evolving environment transitioning into a product-led organization

• Freedom to experiment, innovate, and shape AI strategy

Who Should Apply

• Individuals who want to move beyond execution and own AI initiatives end-to-end

• Professionals excited about 0 → 1 product building using AI

• Candidates looking to work at the intersection of AI, product, and business impact