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Navigating the AI Career Landscape: Machine Learning Engineering, Agentic AI, and Pathways into Data Science

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Virtual
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Prepare for a Career in AI, Machine Learning, and Data Science

This session explores the evolving skill sets required for careers in machine learning and artificial intelligence, with a focus on what employers seek in 2026. Designed for working professionals and career changers alike, we examine applied AI competencies, the rise of agentic systems, and practical strategies for entering the data science field.

Topics

  • Machine learning engineering skills employers need now
  • Agentic AI: what it is and why it matters for practitioners
  • Applied AI for working professionals
  • Breaking into data science: a roadmap for career changers

Our Speakers

Hassan Mousaid, PhD — Principal Solutions Architect at Amazon Web Services, supporting Healthcare and Life Sciences (HCLS) customers to accelerate the process of bringing ideas to market using Amazon's mechanisms for innovation.

Frenil Randeria — Solutions Architect at AWS. He focuses on helping customers get started on their AWS journey and drives innovation for their workloads.

Mitesh Purohit — Sr. Solutions Architect at AWS, based in Dallas, TX. He is a technologist who helps ISV fintech customers modernize on the cloud. His areas of depth and passions are serverless architectures, microservices, and helping customers design highly scalable, innovative, and secure cloud solutions.

Arun Sivaraman — Solutions Architect at AWS, focusing on helping customers solve technical challenges and move to the cloud.

 

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