Associate Lead Data Scientist
Core
Design and deploy scalable AI and machine learning solutions, specifically focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines for enterprise clients.
Role type
Senior IC Machine Learning Engineer (LLM & RAG)
Builds
Production AI applications, LLM integrations, and MLOps pipelines for enterprise clients
Domain
Generative AI, Large Language Models, Data Science
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Hugging Face Transformers, LangChain, vector databases, RAG architectures, MLOps tools, cloud AI platforms, scalable system design
Preferred skills
LLM fine-tuning (LoRA, PEFT), computer vision, multimodal AI, responsible AI frameworks, open-source contributions
Technologies
LangChain, LlamaIndex, Haystack, Pinecone, FAISS, Weaviate, Milvus, MLflow, Kubeflow, Airflow, Docker, Kubernetes, AWS SageMaker, GCP Vertex AI, Azure ML
Responsibilities
Design and deploy scalable AI/ML solutions in production; Develop and optimize LLM applications; Drive RAG pipelines with vector databases; Collaborate to transition models from research to production; Build and manage MLOps pipelines; Architect AI solutions via APIs and microservices; Mentor junior AI engineers; Translate business requirements into AI-driven outcomes; Ensure adherence to responsible AI principles
Seniority
Senior, hands-on IC with leadership responsibilities