3 learning professional jobs found

Job Title: Microsoft Developer with Expertise in AI-Assisted Development Location: Redmond, WA, USA ( Locals Only as there will be in-person interview ) Duration: Long-term contract 8 plus years Job Description: We are looking for an experienced Microsoft Developer with extensive, hands-on experience using GitHub Copilot to accelerate our development cycles, improve code quality, and modernize our tech stack. Responsibilities & Skills: AI-Assisted Coding: Extensively utilize GitHub Copilot and GitHub Copilot Chat within Visual Studio or VS Code to generate, refactor, and optimize code across various projects. Code Quality & Testing: Leverage Copilot for writing comprehensive unit and integration tests, identifying missing coverage, and ensuring high code quality and consistency across the codebase. Documentation & Code Review: Use AI tools to automatically generate documentation from code and provide thoughtful, constructive feedback during...

Title: AI Enterprise Architect Location: US, remote Employment: W2 Length: up to 1 year Must have: Data Science GenAI Tech Stack LLMOps MLOps Python JD: Experience in leading and delivering enterprise AI platform architectural thinking, and its practical application. Experience in the use of conceptual and logical data modelling technologies. Experience in defining and working with information and data regulatory governances. Experience in designing modular, scalable AI architectures for NLP and agent-based systems. Experience in AI engineering such as MLOps, LLMOps, containerization, orchestration, etc. Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies (e.g. Amazon Bedrock, Amazon Quick Suite and Sagemaker). Understands AI Platforms concepts and cloud-based containerization strategies for hybrid cloud environments. Experience in the appropriate AI structure and technology based on business use case and...

Title: AI Enterprise Architect Location: US, remote Employment: W2 Length: up to 1 year Must have: Data Science GenAI Tech Stack LLMOps MLOps Python JD: Experience in leading and delivering enterprise AI platform architectural thinking, and its practical application. Experience in the use of conceptual and logical data modelling technologies. Experience in defining and working with information and data regulatory governances. Experience in designing modular, scalable AI architectures for NLP and agent-based systems. Experience in AI engineering such as MLOps, LLMOps, containerization, orchestration, etc. Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies (e.g. Amazon Bedrock, Amazon Quick Suite and Sagemaker). Understands AI Platforms concepts and cloud-based containerization strategies for hybrid cloud environments. Experience in the appropriate AI structure and technology based on business use case and...