GEN AI Manager

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 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


• 7+ 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