A company is looking for a Principal AI / ML Infrastructure and Ops Engineer to manage large-scale AI / ML platforms and ensure operational excellence.
Key Responsibilities : Lead the design and implementation of scalable infrastructure solutionsOversee management of multi-cloud and hybrid infrastructure environmentsDrive automation across the infrastructure lifecycle using Infrastructure as Code and DevOps principlesRequired Qualifications : Bachelor's degree in computer science, information technology, or a related field10+ years of infrastructure experience managing large-scale, cloud-based software platforms6+ years of experience with Infrastructure-as-Code and CI / CD tools5+ years of experience in containerization technologies and orchestration5+ years of scripting and automation skills in languages like Python and Bash
AI Engineer - Principal Associate Level
Bachelor's degree in Computer Science, Engineering, or AI plus at least 1 year of experience developing AI and ML algorithms or technologies, or Master's degree. AI Engineer - Principal Associate Level. We are committed to building world-class applied science and engineering teams and continue deliv...
AI Engineer - Principal Associate Level - Capital One
Basic Qualifications:Bachelor's degree in Computer Science, Engineering, or AI plus at least 1 year of experience developing AI and ML algorithms or technologies, or Master's degreePreferred Qualifications:2 years of experience deploying scalable and responsible AI solutions on cloud platforms (e. A...
Principal AI Engineer (Option for remote)
Our team of AI scientists, engineers, and innovators is dedicated to exponentially improving financial decision-making for individuals and businesses using advanced AI technology. We are seeking a Principal AI Engineer with strong expertise in Knowledge Representation and Reasoning (KRR) to help us ...
AI Engineer - Principal Associate Level
Basic Qualifications:Bachelor's degree in Computer Science, Engineering, or AI plus at least 1 year of experience developing AI and ML algorithms or technologies, or Master's degreePreferred Qualifications:2 years of experience deploying scalable and responsible AI solutions on cloud platforms (e. A...
AI Engineer - Principal Associate Level
Bachelor's degree in Computer Science, Engineering, or AI plus at least 1 year of experience developing AI and ML algorithms or technologies, or Master's degree. AI Engineer - Principal Associate Level. We are committed to building world-class applied science and engineering teams and continue deliv...
Staff Software Engineer, ML Infrastructure, 11+ Years of Experience
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're looking for a Staff Software Engineer at Snap Inc!. Design, implement, and operate our most critical ML Inference / Feature Store services that p...
AI Engineer - Principal Associate Level
Bachelor's degree in Computer Science, Engineering, or AI plus at least 1 year of experience developing AI and ML algorithms or technologies, or Master's degree. AI Engineer - Principal Associate Level. We are committed to building world-class applied science and engineering teams and continue deliv...
Senior / Lead ML Tooling Software Engineer
As the Senior / Lead ML Tooling Software Engineer at Atlas AI, reporting to the Head of Engineering, you will be part of the core team defining, building, testing, and delivering our GeoAI platform to enable internal and external Data Scientists (DS) and Machine Learning Engineers (MLE) to implement...
AI Engineer - Principal Associate Level
Bachelor's degree in Computer Science, Engineering, or AI plus at least 1 year of experience developing AI and ML algorithms or technologies, or Master's degree. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior AI EngineerSan Francisco and San Jose, California (Hybrid On-Site): $174,90...
AI & ML Engineer
Experience with AI & ML Platforms such as Azure Cognitive Services or AWS SageMaker & ML Services, required. Whether you’re telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impac...