Role description

Data Science Manager – Generative AI

We are seeking a
Data Science Manager – Generative AI
to lead the design, development, and deployment of GenAI solutions that drive business impact. This role blends
people leadership, advanced machine learning expertise, and product thinking
, with a robust focus on Large Language Models (LLMs), multimodal models, and AI-driven applications.

You will manage a team of data scientists and ML engineers, partner closely with product and engineering leaders, and ensure GenAI initiatives move from experimentation to scalable, responsible production systems.

Key Responsibilities

Leadership & Strategy
- Lead, mentor, and grow a team of data scientists working on GenAI and advanced ML initiatives
- Define GenAI roadmap aligned with business and product strategy
- Translate ambiguous business problems into actionable AI solutions
- Drive best practices for model development, evaluation, and deployment

Generative AI & Machine Learning
- Design and oversee solutions using
LLMs, embeddings, RAG pipelines, fine-tuning,



and prompt engineering
- Evaluate and select foundation models (OpenAI, Anthropic, open-source models, etc.)
- Guide experimentation with multimodal AI (text, image, audio, video)
- Ensure model quality, robustness, fairness, and explainability

MLOps & Productionization
- Partner with engineering to deploy GenAI systems at scale
- Establish MLOps standards: versioning, monitoring, retraining, and cost optimization
- Ensure performance, latency, security, and reliability of GenAI systems

Stakeholder & Product Collaboration
- Work closely with Product Managers to define AI-driven features and success metrics
- Communicate complex AI concepts to non-technical stakeholders and executives
- Support go-to-market and customer-facing GenAI capabilities

Governance & Responsible AI
- Implement responsible AI practices, including privacy, compliance, and risk mitigation
- Ensure ethical use of GenAI models and ad

📌 GEN AI Manager (India)
🏢 Tredence
📍 India