Position Overview

The Senior AI Data Scientist will implement AI tasks required for the development of Wadhwnai Skilling Network’s (WSN) AI-based products and features and also will provide leadership and guidance to other team members on key AI topics.

The Senior AI Data Scientist will report to the WSN Global Chief Product Officer. The Senior AI Data Scientist may be based in either US or India and will need to communicate regularly with global stakeholders, primarily in the U.S. and India.

Responsibilities

• Communicate effectively with the product and content teams to understand the needs and brainstorm possible AI-based solutions
  
• Utilize Generative AI in developing products and features – including through the use of advanced prompt engineering techniques and the training/fine-tuning of LLMs
  
• Utilize Predictive AI in developing products and features – including through the creation of analytical models and algorithms that support learners’ successful career choices, in-course progress and completion, and job placement and progression
  
• Train product and content team members on key AI-related tasks (e.g., prompt engineering) in order to create more leverage
  
• Advise the engineering team on key technical issues related to Generative and Predictive AI to optimize quality, affordability, and low latency (e.g., the selection of LLMs)
  
• Stay current with the latest advancements in Generative and Predictive AI
  
• Manage relationships with external data scientist contractors on as needed basis
  

Required Skills and Experience Let’s add EdTech or Skilling as a preference.

• Bachelor’s or graduate degree in computer science, data science, or a related discipline
  
•  5+ years of experience in technical data science roles in an enterprise environment, with the ability to design and implement Proof of Concepts
  
• Successful track record in participating in development of successful Generative AI products and features, including experience in advanced prompt engineering and fine-tuning/training of LLMs
  
• Successful track record in participating in development of successful Predictive AI products and features
  
• Deep knowledge of recent advancements in Generative and Predictive AI
  
• Demonstrated ability to utilize analytical and problem-solving skills to formulate research questions, design experiments, and interpret results
  
• Excellent technical communication skills, both written and verbal, including the ability to teach or explain concepts to technical and non-technical audiences
  
• Passion to execute on projects with a focus on customer and value
  
• Proven ability to multitask and thrive in a fast-paced, startup environment
  

Preferred Skills and Experience

·         Experience building AI-based products and features in e-learning