Technical Product Manager

Innodata India; Dadri; Hybrid; INR 2,009,000 - 3,125,000; Full time

Job summary

Innodata India seeks a mid‑level Technical Product Manager for AI/LLM delivery, responsible for data-driven solutions, prompt engineering, and model optimization. You will translate business needs into scalable AI architectures and work closely with engineering, QA, and delivery teams.

The role requires 2–6+ years in data science/ML, strong Python skills, and experience with LLM/NLP tools. Hybrid work in India is available with client engagements and cross‑functional collaboration.

Qualifications

• 2-6+ years of experience in data science, ML, or AI solutions.
• Experience on AI/LLM or NLP projects is highly preferred.
• Exposure to client-facing or delivery environments is a strong advantage.
• Master’s degree or PhD preferred for advanced AI/ML roles.

Responsibilities

• Design, develop, and deliver data-driven AI/ML solutions for enterprise clients.
• Work on LLM-based use cases such as prompt engineering and model optimization.
• Analyze datasets, perform EDA, and build actionable insights for stakeholders.
• Engage with clients, translate requirements to AI/ML architectures, and drive delivery.
• Collaborate with cross-functional teams to ensure quality and reliability of deliverables.

Skills

Python

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

LLMs

NLP

Data analysis

Visualization

SQL

AWS

Azure

GCP

Git

Education

Master’s degree in data science, CS, Mathematics, Statistics, or related field

PhD preferred

Tools

Hugging Face

OpenAI APIs

Embeddings

RAG frameworks

Job description

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 strong 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 industry trends

5. Collaboration & Delivery Excellence

• Work closely with cross‑functional teams (engineering, QA, annotation, delivery leads)
• Support end‑to‑end project lifecycle: requirement gathering development deployment monitoring
• Ensure quality, scalability, and reliability of AI deliverables

Qualifications

Education

• Master’s degree in data science, Computer Science, Mathematics, Statistics, or related field
• Master’s degree or PhD preferred, especially for advanced AI/ML roles

Experience

• 2-6+ years of experience in data science, machine learning, or AI solutions
• Experience working on AI/LLM or NLP-related projects is highly preferred
• Exposure to client‑facing or delivery environments is a strong advantage

Technical Skills

• Strong proficiency in Python (NumPy, Pandas, Scikit‑learn)
• Experience with ML frameworks (TensorFlow, PyTorch)
• Hands‑on experience with LLMs / NLP tools (e.g., Hugging Face, OpenAI APIs, embeddings, RAG frameworks)
• Support evaluation and benchmarking methodologies used to determine dataset quality and model performance.
• Work with Subject Matter Experts, Quality teams, and Technical Product Managers to investigate potential data or Ground Truth issues.
• Solid understanding of:
  • Machine learning algorithms
  • Data preprocessing and feature engineering
  • Model evaluation and performance metrics
• Experience with:
  • SQL and large‑scale datasets
  • Cloud platforms (AWS, Azure, or GCP)
  • Version control (Git)
  • Strong hands‑on programming capability in Python.

Core Competencies

• Strong analytical and problem‑solving skills
• Excellent communication skills (written and verbal)
• Ability to explain complex technical concepts to non‑technical stakeholders
• High attention to detail and quality
• Collaborative mindset and adaptability in fast‑paced environments