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.