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
