Support vendor-managed projects and assessment of AI, Data (Big Data included) models to meet business requirements, in areas such as NLP, computer vision, chatbots and Large Language Models (LLM).
Design and build end-to-end AI solutions, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability capabilities.
Design, architect, and build end-to-end AI products, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability frameworks.
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.
4+ years as a software engineer, data engineer, or AI/ML practitioner writing technical design documents, data pipeline documentation, or API specifications
The Technical Track (Senior AI Engineer / Tech Lead): Command deeper architectural ownership, pioneer core AI strategies, and drive high-stakes technical decisions, or the