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Job Summary:
We are seeking a Senior Data Scientist with deep expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and production-scale machine learning systems. This role focuses on building and deploying customer-facing AI products, leading RAG implementations, evaluating LLM performance, and scaling production-grade ML systems. The ideal candidate will bring 10+ years of data science experience, including at least 5 years of hands-on GenAI experience, with the intent to transition into a Lead Data Scientist role.
Key Responsibilities:
• Design, develop, and deploy customer-facing Generative AI and LLM-powered products.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines and semantic retrieval systems.
• Develop and evaluate production-grade machine learning systems at scale.
• Implement LLM evaluation frameworks, benchmarking, validation, and continuous model improvement.
• Work closely with Machine Learning Engineers throughout the product development and deployment lifecycle.
• Design and optimize transformer-based NLP solutions using models such as BERT, RoBERTa, and T5.
• Apply advanced prompt engineering and model optimization techniques for production applications.
• Analyze large datasets using distributed computing platforms such as Spark and Hadoop.
• Mentor junior data scientists and provide technical leadership on AI initiatives.
• Collaborate with product, engineering, and business teams to deliver scalable AI solutions.
Required Qualifications:
• 10+ years of Data Science experience.
• 5+ years of recent hands-on experience with Generative AI, LLMs, RAG, and Agentic AI.
• Strong experience building and deploying production-grade ML systems at scale.
• Strong LLM and Generative AI deployment experience, including implementation and evaluation.
• Experience following the complete product deployment lifecycle, including product build, maintenance, and new feature development.
• Experience working alongside Machine Learning Engineers through product deployment.
• Strong Python programming skills.
• Strong background in NLP and transformer-based architectures.
• Experience working with large datasets and distributed computing systems such as Spark or Hadoop.
• Experience with machine learning algorithms including deep learning, gradient boosting, and random forests.
• Experience mentoring, training, and serving as a subject matter expert.
Preferred Qualifications:
• Experience with ChatGPT, GPT-3.5, Claude, Mistral, or similar LLM platforms.
• Experience transitioning into technical leadership or Lead Data Scientist responsibilities.
• Experience building customer-facing AI products in enterprise environments.