Manager Data Science
Core
Design and implement scalable Generative AI systems leveraging Large Language Models (LLMs) to solve complex business problems and deliver personalized digital experiences.
Role type
Manager, Generative AI Engineering
Builds
Intelligent AI agents, NLP pipelines, and multi-modal GenAI solutions for global clients
Domain
Generative AI, Large Language Models, Cloud Infrastructure
Deliverable
production ML models
Required skills
Generative AI system design, LLM fine-tuning (RLHF, instruction tuning), Agentic AI development, NLP pipeline optimization, multi-modal system integration, cloud platform deployment (AWS/Azure/GCP), distributed training/inference, containerization
Preferred skills
AI agent frameworks (LangGraph, CrewAI, Autogen), open-source LLM ecosystems, production deployment on OpenShift/Kubernetes, multi-modal AI models (VLM, GANs, VAEs), DevOps practices
Technologies
LangChain, LlamaIndex, Milvus, FAISS, ChromaDB, Ray, vLLM, BentoML, MLflow, Kubeflow, Docker, Kubernetes, OpenShift, AWS, Azure, GCP, HuggingFace
Responsibilities
Design and implement AI-driven systems to transform user experiences and business processes; Fine-tune and adapt LLMs for domain-specific applications; Build intelligent AI agents to solve complex business challenges; Develop and optimize NLP pipelines for search relevance and content generation; Integrate multi-modal systems to enhance user insights; Optimize AI pipelines for scalability and real-time performance; Deploy and scale GenAI solutions on cloud platforms
Seniority
Manager, hands-on IC with team leadership
