01Key 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
- Stock options
- 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 growth opportunities
- Community-based volunteering opportunities .
