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 solid 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 adherence to regulat

📌 GEN AI Manager (India)
🏢 Tredence
📍 India