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AI Engineer - Microsoft specialized clouds - Edge AI group at Microsoft

Herzliya, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C#, Java, AI Models, Kubernetes, Cloud Development, Azure, AWS, GCP, GPU Programming, ML Workflows, Model Optimization, Debugging, Software Quality, Infrastructure Development, Problem Solving

Industry

Software Development

Description

Working on the on Prem appliances requires the team to work across various hardware configurations, optimize AI for different hardware categories, connect AI to data sources in order to provide the right context for the AI to the customers' business needs and more. We are looking for AI Engineer to join the Data Science team. As an AI Engineer in the Data Science team, you will be working closely with applied researchers on model optimizations, GPU and hardware, language-model optimizations in the Video and Language domains and more. Your code will reach Azure resources and extensions, and you will use various technology stacks with the latest tools and methodologies. You will be expected to break down problems, learn and develop, have an open mind, and have ownership all the way to production. Required: B.Sc. in Computer Science or equivalent 4+ years of experience with SW development using Python, C# or Java. Experience with AI models and Kubernetes Experience with developing and operating code in the cloud on Azure / AWS / GCP Master's degree in computer science or equivalent Experience in GPU programming and GPU-accelerated ML workflows, including model optimization and debugging on GPU hardware Ability to build tools and infrastructure to improve shipping and ensure software quality

Responsibilities

The AI Engineer will work on on-prem appliances, optimizing AI for various hardware configurations and connecting AI to data sources. The role involves collaborating with applied researchers on model optimizations and utilizing various technology stacks.