Data Scientist

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.