Data Science Manager - Generative AI

Job Title
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

Skills
Generative AI, Python, AWS, Azure, GCP, Airflow, Machine Learning, NLP, TensorFlow, PyTorch

Experience
6+ yrs

Work arrangement
Hybrid