Lead Data Scientist - AI

Overview

Lead the development and production deployment of scalable AI and document intelligence solutions for complex financial content as an individual contributor.

What you'll do

• Develop and deploy production-level AI models using generative AI capabilities.
• Tune and optimize models for accuracy, efficiency, and fitness for purpose.
• Evaluate third-party AI solutions for performance, scalability, and business suitability.
• Establish model evaluation and coding standards for production-grade code.
• Define project requirements, direction, and development roadmaps with business and engineering partners.
• Build document intelligence solutions for extracting, structuring, validating, and analyzing financial documents.
• Design retrieval and knowledge discovery frameworks using OCR, NLP, semantic search, RAG, and LLMs.

What you'll need

• 10+ years of experience applying data science methods to real-world problems.
• Experience deploying AI models and solutions to production.
• Strong data analysis and probability skills.
• Proficiency in object-oriented Python and data science libraries such as TensorFlow, PyTorch, and Scikit-Learn.
• Expertise in Azure and/or AWS cloud technologies and deployment practices.
• Experience building production-grade document intelligence solutions for complex financial documents.
• Bachelor's degree in a relevant quantitative or technical field, or equivalent work experience.

Nice to have

• Working knowledge of DevOps practices, including versioning, CI/CD, automated testing, and monitoring.

Details

• Hybrid, digital-first role requiring office attendance at least one day per week.
• Location: Bangalore, Karnataka, India.
• Career stage: Manager.