Location: Sunnyvale,CA, USA
Looking for an MLOPs Engineer who can help work on system, infrastructure and deployment aspects of AI models used for Extended Reality experiences Responsible for the planning and engineering of an organization's systems infrastructure. Includes the implementation and design of hardware and software. Monitors the performance of systems. Installing, configuring, testing and maintaining operating systems, application software and system management tools. Ensure the highest levels of systems and infrastructure availability. Minimum Qualifications: - Requires a bachelor's degree in area of specialty - 4+ years of experience. This resource needs to have proven strong AI and Infrastructure engineer experience. They should be located in the Sunnyvale area so that they can be in office 1-2 days per week. Additional Preferred Qualifications o Experience with deep learning frameworks such as Tensorflow, Pytorch o Experience in Python, C++, Unix, GCP/Azure, Kubeflow, CUDA, KAFKA o Experience with MLOps, performance benchmarks for ML models, optimizing and deploying ML models o Production deployment experience with ML models Required Skills : What are the top 3 skills needed/required? -Experience with deep learning frameworks such as Tensorflow, Pytorch -Experience in Python, C++, Unix, GCP/Azure, Kubeflow, CUDA, KAFKA -Experience with MLOps, performance benchmarks for ML models, optimizing and deploying ML models Background Check :Yes Notes : Selling points for candidate : Project Verification Info : The information provided below is for Apex Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Apex Systems Vendor Management. MSA: Blanket Approval Received Client Letter: Will Provide Candidate must be your W2 Employee :Yes Exclusive to Apex :No Face to face interview required :No Candidate must be local :Yes Candidate must be authorized to work without sponsorship ::No Interview times set : :No Type of project : Master Job Title : Branch Code :