Advanced Modeling: Lead the research, design, and implementation of advanced Machine

Learning (ML) and Deep Learning (DL) models to solve complex enterprise business problems.

Predictive Analytics: Drive innovation in Timeseries Forecasting, developing robust and scalable models that enhance predictive planning and scenario modeling capabilities.

Generative AI & LLMs: Architect Generative AI solutions, focusing on fine-tuning open-source and proprietary Large Language Models (LLMs) for specialized enterprise data tasks, heavily leveraging Transformer architectures.

Next-Gen Interfaces: Design and integrate Conversational AI interfaces and Agentic AI workflows to create intuitive, autonomous user experiences that can independently execute complex planning workflows.

Collaborate with cross-functional teams (Engineering, Product, and Design) to transition AI models from prototype to robust, scalable production systems.

Technical Leadership: Serve as a subject matter expert, mentoring other data scientists and engineers, and fostering a culture of technical excellence, rigorous testing, and continuous learning.

Your Qualifications

10+ years of hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains.

End-to-end exposure in model lifecycle development, including extensive experience in training and deploying ML models in production environments.

Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.

Experience in fine-tuning LLMs for domain-specific enterprise applications.

Principal Data Scientist - AI

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Anaplan

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