Client Engagement: Lead discussions with clients to understand their business challenges and identify opportunities where GenAI can provide value.
Solution Development: Design, prototype, and implement generative AI models and applications tailored to client needs, including but not limited to content generation, data extraction, and predictive analytics.
Cross-Functional Collaboration: Work closely with product managers, engineers, and other stakeholders to integrate generative AI solutions into existing products and services.
Performance Evaluation: Continuously assess the performance of generative models, making necessary adjustments to optimize outcomes.
Market Research: Stay abreast of the latest developments in generative AI technologies, trends, and best practices to inform strategic decision-making.
Training & Mentorship: Provide guidance and support to junior data scientists and team members on generative AI methodologies and tools.
Thought Leadership: Contribute to internal knowledge sharing and external thought leadership through presentations, white papers, or participation in industry conferences
CareerFit
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