Lead Principal AI

Cornerstone OnDemand

4.6

(93)

Hyderabad, India

Why you should apply for a job to Cornerstone OnDemand:

Ranked as one of the Best Tech Companies for Women in 2023

4.6/5 in overall job satisfaction

4.7/5 in supportive management

90% say women are treated fairly and equally to men

97% would recommend this company to other women

100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members.

We offer Wellbeing Days (paid days off during the months of July, August, and September) so our people can focus on their wellness.

The Cornerstone Family First Initiative is a one-time initiative covering reimbursement for some out-of-pocket fertility expenses.

Through Maven, we provide 100% free coaching and personalized support for those navigating mid-life and menopause.

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Position summary

nd API development.

Research & Innovation: Stay at the forefront of LLM and Generative AI research, evaluating new techniques and tools to continually enhance our platform and capabilities.
Performance & Evaluation: Establish metrics and conduct rigorous evaluations of LLM and Generative AI solutions to ensure business impact and continuous improvement.
Team Leadership & Mentorship: Lead, mentor, and inspire a team of data scientists, fostering a culture of innovation, collaboration, and continuous learning. Provide technical guidance, conduct code reviews, and support their professional development.
Cross-Team Guidance: Act as a subject matter expert and provide technical leadership to multiple teams, helping them identify, design, and implement Generative AI solutions for their specific use cases (e.g., content generation, code assistance, customer support automation, data augmentation).

What will you bring to the Team
10+ years of experience in data science with a strong focus on Machine Learning, including significant experience (3+ years) with Large Language Models (LLMs) and Generative AI.
Proven track record in designing and architecting complex, high-scale AI systems, including experience with distributed computing and cloud platforms (AWS, GCP).
Strong programming skills in Python/Java and proficiency with relevant ML frameworks.
Solid understanding of data governance, privacy, and ethical considerations related to AI and LLMs.
Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.