Job Title:
Technical (AI) Product Manager
– AI/LLM Delivery & Dataset Quality

Function
: AI-LLM Project Delivery

Role Type
: Individual Contributor – Mid-Level

Location
: [Location / Hybrid / Remote]

Reports To
: Delivery Unit Head

Works Closely With
: Technical Product Managers, ML Engineers, SMEs, Quality Teams, Project Managers, Engineering Teams and AI Researchers

Overview

We are seeking a highly skilled Technical Product Manager to join our AI/LLM Delivery Unit, responsible for designing, developing, and delivering data-driven and AI-powered solutions for enterprise clients. This role combines strong analytical expertise, machine learning experience, and hands-on exposure to Large Language Models (LLMs) to support high-impact client engagements.

The ideal candidate will be both technically robust and client-facing, capable of translating business requirements into scalable AI solutions.

Key Responsibilities

1. AI / Machine Learning Development
- Design, develop, and deploy machine learning models and data science solutions
- Work on
LLM-based use cases




such as prompt engineering, evaluation, fine-tuning, and model optimization
- Build and optimize pipelines for structured and unstructured data

2. LLM & Generative AI Solutions
- Develop and evaluate applications using LLMs (e.g., text generation, classification, summarization, entity extraction)
- Conduct prompt engineering and experimentation to improve model outputs
- Support model benchmarking, testing, and performance evaluation

3. Data Analysis & Insights
- Analyze large datasets to extract actionable insights and patterns
- Perform exploratory data analysis (EDA) and feature engineering
- Build data visualizations and reports for stakeholders

4. Client Engagement / Delivery
- Participate in client-facing technical discussions and presentations
- Translate business requirements into AI/ML solutions and solution architectures
- Provide consultative insights based on project learnings and industr

📌 Technical Product Manager (Noida)
🏢 Innodata
📍 Noida