Manager - Data Science and Applied AI

About the role

Lead the design, execution, and scaling of end-to-end AI/ML and GenAI initiatives, including LLM fine-tuning and continuous optimization in production. Drive the integration of advanced AI/ML models (classical ML models and GenAI models like GPT, Claude, and other LLMs via APIs from OpenAI, Anthropic, AWS Bedrock, etc.) into key business workflows.

What you'll do

• Drive the integration of advanced AI/ML models (classical ML models and GenAI models like GPT, Claude, and other LLMs via APIs from OpenAI, Anthropic, AWS Bedrock
• Oversee the development of RAG pipelines, embeddings-based search systems, and other GenAI use cases like copilots, document intelligence, and knowledge assistants
• Collaborate with product, engineering, and infrastructure teams to ensure seamless AI/ML system integration into scalable
• Establish and maintain robust MLOps pipelines using tools such as GitLab CI/CD, Docker, K8s Define best practices for model evaluation, benchmarking

What you need

• 14–25 yrs of experience
• Machine learning
• LLMs
• AWS
• Python
• MLOps
• Deep learning
• Any graduate

Good to have

• NLP
• CI/CD
• Git
• Docker
• Kubernetes