Support in building and improving an evaluation algorithm that learns from past human decisions to assess the quality of new AI suggestions and identify when human review is required.
Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
3 to 5 years of experience in partnership management, stakeholder engagement, or a similar role, preferably within the SWDA ecosystem or related sectors. Those with no experience but possess relevant related competencies can apply.
Collaborate with cross-functional teams to design, develop, and implement AI features, focusing on areas like natural language processing, data analysis, and predictive modeling.
Contribute to unified AI/ML capabilities by integrating classical ML models with Generative AI platforms (primarily AWS Bedrock) for applications in semiconductor manufacturing and risk analytics.
Build agentic solutions (software development): Design and build full-stack systems and AI agents, writing production-grade code that takes solutions from first prototype through to stable production.