Data Science Manager

Tredence Inc.; Hyderabad, Gurugram District, Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Tredence Inc. is 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 strong focus on 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

Qualifications

• Bachelor’s or master’s degree in CS, data science, engineering, or related field.
• 6+ years in data science, ML, or AI roles.
• 2+ years in people management or technical leadership.
• Strong hands-on with Generative AI and LLMs.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Experience with cloud platforms (AWS, GCP, Azure).
• Solid understanding of statistics, experimentation, and model evaluation.

Responsibilities

• 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.
• Design and oversee GenAI solutions using LLMs, embeddings, RAG pipelines, fine-tuning, and prompt engineering.
• Evaluate foundation models (OpenAI, Anthropic, open-source models).
• Guide experimentation with multimodal AI (text, image, audio, video).
• Partner with engineering to deploy GenAI systems at scale and establish MLOps standards.

Skills

Generative AI

LLMs

Python

PyTorch

TensorFlow

Hugging Face

Cloud Platforms

Statistics

Leadership

Product thinking

Education

Bachelor's or Master’s

Data Science degree

Tools

FAISS

Pinecone

Weaviate

Milvus

MLflow

Kubeflow

Airflow

OpenAI API

Job description

Data Science Manager Generative AI

Role Summary

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 strong 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 regulatory standards

Required Qualifications

• Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field
• 6+ years of experience in data science, machine learning, or AI roles
• 2+ years of people management or technical leadership experience
• Strong hands-on experience with Generative AI and LLMs
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Experience with cloud platforms (AWS, GCP, Azure)
• Solid understanding of statistics, experimentation, and model evaluation

Preferred Qualifications

• Experience deploying RAG systems, fine-tuned LLMs, or agent-based architectures
• Familiarity with vector databases (FAISS, Pinecone, Weaviate, Milvus)
• Experience with MLOps tools (MLflow, Kubeflow, Airflow)
• Background in NLP, conversational AI, or search/recommendation systems
• Experience working in regulated or enterprise environments