Sr. Data Scientist (GenAI/LLMs & AWS Sagemaker)

Sr. Data Scientist (GenAI/LLMs & AWS Sagemaker)

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We seek a Senior Data Scientist who can implement and scale GenAI/ML/LLM models and make them production-ready on AWS Sagemaker. This person will apply strong AI expertise to testing and evaluation of LLMs, benchmarking of GenAI models, and Automate MLOps.

Key Responsibilities

  • Work on the latest applications of data science to solve business problems.
  • Implement LLMs on AWS Sagemaker and get them production-ready.
  • Testing and evaluation of LLMs
  • Benchmarking of GenAI models, and automating MLOps
  • Implement and scale GenAI/ML/LLM models
  • Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
  • Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers.
  • Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Stay connected with external sources of ideas through conferences and community engagements.
  • Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.
  • A minimum of 8-10 years of Data Science experience is required, including GenAI experience.
  • Bachelor's Degree in Data Science, Computer Science, or a related field.
  • Experience with Text-to-text generation using LLMs, LLM Evaluation, fine-tuning LLMs, and productionizing GenAI models on AWS Sagemaker.
  • Robust experience with Tools/Languages like Python, Sagemaker, Bedrock, Amazon Q, JSON, YAML, and text processing ML modelling.
  • Extensive experience with NLP and GenAI models.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
  • Bias for action, with the ability to deliver outstanding results through task prioritization and time management.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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