Senior Data Scientist / Generative AI Specialist
Position: Senior Data Scientist / Generative AI Specialist
Experience: 8+ Years
Employment Type: Full time
Level: Senior
Location: Remote
Position Overview
We are seeking a highly experienced Senior Data Scientist / Generative AI Specialist to design, develop, and productionize advanced AI/ML and Generative AI solutions. The ideal candidate will have strong hands-on expertise in Python, Machine Learning, Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, NLP, and MLOps.
The role requires the ability to translate complex business problems into scalable AI solutions, build enterprise-grade GenAI applications, develop and optimize machine-learning models, and establish reliable evaluation, deployment, monitoring, and governance practices.
Key Responsibilities
Design, develop, and deploy enterprise-grade Data Science, Machine Learning, Generative AI, and Agentic AI solutions.
Build and productionize LLM-powered applications using models from OpenAI, Anthropic Claude, Google Gemini, Llama,
and other foundation-model ecosystems.
Architect and implement Retrieval-Augmented Generation (RAG) solutions integrating enterprise structured and unstructured data.
Develop advanced AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent technologies.
Implement tool/function calling, structured outputs, workflow orchestration, memory/context management, and agent reasoning patterns for enterprise AI applications.
Design embedding, semantic-search, hybrid-search, metadata-filtering, and vector retrieval pipelines using vector databases such as Pinecone, FAISS, ChromaDB, Weaviate, Milvus, Elasticsearch/OpenSearch, or equivalent platforms.
Develop multi-stage retrieval and reranking strategies to improve RAG accuracy, relevance, grounding, and contextual quality.
Apply advanced prompt engineering and context engineering techniques, inclu
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