Senior Data Scientist (Gen AI)

This is a hybrid role. At Bluevine, we pride ourselves on our collaborative culture, which we believe is best maintained through in-person interactions and a vibrant office environment. All of our offices have reopened in accordance with local guidelines, and are following a hybrid model. In-office days will be determined by location and discipline.

Key Responsibilities:

Generative AI Research:
Explore and evaluate Large Language Models (LLMs) and emerging generative AI techniques to identify impactful applications in data science.

Model Fine-Tuning & Adaptation:
Design and execute experiments to fine-tune or customize foundational models using domain-specific and internal datasets.

Applied Generative AI Solutions:
Leverage generative AI to enhance traditional machine learning use cases such as risk modeling, fraud detection, and customer analytics.

Prompt Engineering & Evaluation:
Develop effective prompting strategies and build robust evaluation and benchmarking frameworks to measure model performance and reliability.

Cross-Functional Collaboration:
Partner with data scientists and cross-functional teams to integrate generative AI capabilities into existing analytics and modeling workflows.

Knowledge Sharing & Enablement:
Act as a subject matter expert, driving adoption by sharing best practices, insights, and advancements in the generative AI space.

What We’re Looking For:

• 5+ years of hands-on experience
• Experience in data science, machine learning, or applied AI, with strong analytical and experimental skills.
• Experience with generative AI & large language models
• Hands-on experience working with large language models, building agents, prompt engineering, or model fine-tuning techniques.
• Strong proficiency in Python & Data Science Toolkit
• Extensive experience with Python-based data science tools and machine learning frameworks.

Benefits & Perks

• Excellent group health coverage and life insurance
• Meal allowance
• Transportation assistance (terms and conditions apply)
• Generous paid time off plan, Holidays
• Company-sponsored mental health benefits
• Financial advisory services for both short- and long-term goals
• Learning and development opportunities to support career growth
• Community-based volunteering opportunities