AI Deep Learning Engineer/Architect

Company: Tan Check Consolidated Inc.
Location: Not Specified, Not Specified, United States
Type: Full-time
Posted: 10.JUN.2021


AI Deep Learning Engineer/Architect Type: Contract Length: 1+ years Location: Remote in US but preferred to work in Austin, Texas area Exper...


AI Deep Learning Engineer/Architect
Type: Contract
Length: 1+ years
Location: Remote in US but preferred to work in Austin, Texas area
Experience: Min. 12+ years Must have skills:

  • 12+ year experience with proven record in the AI and data analytics domain
  • Programming experience in C/C++, or Python
  • Experience deploying Kubernetes for AI workloads
  • Ability to present designs internally and with customers
  • Solid Deep learning background and familiarity with state-of-the-art techniques such as deep neural networks
    and their use cases such as image processing, natural language processing, speech recognition
• Publish reference architectures based on NVidia GPUs and EMC server and storage for AI/DL data scientists
• Create presentations about the systems developed and brief sales and customers on the technical details of the systems
• Develop tools and scripts to simplify the deployment and maintenance of these systems.
• Provide functional testing of the software as well as performance characterization to understand how the end-to-end systems, including hardware, software and applications, will perform,
• Evaluate the use of Kubernetes for Deep Learning applications on GPUs
• Develop best practices for deploying a Deep Learning system with Kubernetes based on client's technologies and NVidia GPUs
• Develop best practices on performing distributed (multi-node) DL training and inference with Kubernetes using commonly used DL frameworks such as Tensorflow, Cafe2, Keras, etc.
• Track the recent developments in the AI community as well as AI systems architectures, hardware technologies and emerging applications area
• Provide consultation to Client's pre-sales teams and customers on AI/DL infrastructure and technologies
• Work with other Client AI, Big Data and HPC architects, engineers, developers, product managers, and sales staff to ensure that new AI solutions are best-in-class matched to customer needs, cost-effective, supportable, and have potential for significant impact and revenue.
• Disseminate research to the AI & HPC community at conferences, workshops, and meetings
• Contributions such as publications that have advanced the field
• Domain specific knowledge with AI use cases in one or preferable several vertical industries such as finance, manufacturing, life sciences, automotive, security, logistics, etc
• Hands on hardware experience with HPC AI/DL technologies Tan Check Consolidated, Inc. WBENC Certified WOSB Certified NO RECRUITER CALLS - provided by Dice

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