Technical Product Manager

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