Tech Stack

Description

You will be a key technical reference, creating and evolving generative AI solutions for conversational products and operational efficiency. This includes hands-on modeling, data analysis, and prompt engineering, as well as defining technical standards, architecture decisions, and integrating data science with engineering to scale AI solutions.

Requirements

• Extensive experience with Python and generative AI in production
• Solid knowledge of LLMs, NLP, information retrieval, and optimization
• Experience leading technical initiatives and modeling standards
• Strong quantitative analysis and communication skills
• Experience with CI/CD, cloud infrastructure (AWS, GCP, or Azure), and MLOps tools (e.g., Databricks, Snowflake, SageMaker)

Responsibilities

• Lead technical initiatives, influencing modeling standards, code quality, and data architecture
• Conduct quantitative analyses from problem approach to results presentation
• Document and communicate data-driven insights to cross-functional audiences
• Participate in rapid cycles for training, tuning, testing, and deploying models
• Collaborate with engineering and product to design pipelines and integrations for production models