Accelerate AI adoption across the enterprise by prototyping and deploying AI and ML models, and identifying and delivering Generative AI use cases.
Requirements
- 7+ years of experience in AI, ML, data science, or data analytics
- 5+ years of experience developing ML models for business applications
- 5+ years of experience with programming languages, including Python and SQL
- 5+ years of experience with NLP
- 2+ years of experience with Generative AI tools and techniques, including LLMs, embeddings, RAG, and prompt engineering
- 2+ years of experience contributing to or collaborating on analytics products using version control systems, including GitHub
- Experience with cloud platforms such as AWS, Azure, or GCP
Responsibilities
- Lead and contribute to AI and ML projects by prototyping and deploying AI and ML models.
- Identify and deliver Generative AI use cases, including LLM-based solutions, prompt engineering, and workflow integration.
- Mentor junior team members on emerging GenAI practices.
- Support the team’s efforts in adoption of AI through custom development, customer engagement, and partnership building.
- Apply a strong foundation in machine learning (ML), natural language processing (NLP), and data science, and develop expertise with Generative AI.
- Balance broad AI and ML expertise with hands-on GenAI experimentation and solution-building.
Other
- Due to the nature of work performed within this facility, U.S. citizenship is required.
- Experience with client management and stakeholder engagement
- Experience with technical writing, including presentations
- Bachelor's degree
