
AI/ML Prompt Engineer
1 week ago
Required Capabilities
- Technical Expertise:
Proficiency in Python/JavaScript.
Strong background in machine learning and predictive modeling.
Experience with NLP for analyzing text data (call summaries, transcripts).
Hands-on experience developing AI agents and RAGs.
Data Engineering: Experience with data integration(AWS Services), data/schema modeling, and SQL. Ability to bring a proof-of-concept (POC) to a full-scale production application.
Prompt Engineering: Experience designing, creating, and refining prompts to get desired responses from LLMs
- Soft Skills & Work Ethic:
Takes Initiative & Works Independently: Demonstrated ability to manage projects from start to finish with minimal supervision.
Excellent Communication: The ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders.
Collaborative Mindset: Willingness to work effectively within a cross-functional team.
AI/ML & Analytics Focus
- Projects Supported:
Roche Learning Strategy (Including Prompt Engineering): Contribution to the development and implementation of the Roche Learning Strategy, with a specific focus on incorporating and leveraging prompt engineering techniques for AI-driven learning content and interactions.
Skill Tagging/Analysis: Development and execution of a robust skill tagging and analysis framework. This involves identifying relevant skills, categorizing them, and analyzing skill gaps to inform learning initiatives and talent development.
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