Machine Learning & AI Platform Engineering Lead, FTE role -- Direct Full time hire (100% remote/work from home)

Algorithms, Applied mathematics, Artificial intelligence, Bioinformatics, CAN, Clinical trials, Computer science, Deep learning, Informatics, Machine learning, Natural language processing, Neuroscience, PyTorch, Python, Reporting, Research, Science, Supervision, scikit-learn, Workflow, Software, Amazon Web Services, Apache Hadoop, Apache Kafka, Apache Spark, Big data, Docker, Continuous integration, SQL, NoSQL, ETL, Kubernetes, C, Cloud, Distributed computing, Architecture, Automation, Blueprint, Business transformation, CDN, Cost control, DNS, Data centers, DevOps, Engineering, Forensics, GitHub, Good Clinical Practice, Google Cloud, Governance, IMPACT, IT infrastructure, IT transformation, IaaS, Impact analysis, Implementation, Infrastructure, Integration, Jenkins, Leadership, Network security, Networking, Node.js, PaaS, Provisioning, Pure Data, SaaS, Security, Software deployment, Software development, Storage, Strategy, Terraform, Usability, Virtualization
Full Time
Depends on Experience

Job Description

This is full time employee role. This is 100% remote/work from home. Phd preferred. This is not pure data scientist role, resource must be able to work on machine learning models and automation using Docker and Kubernetes

Required expertise and experience

  • Prior lead/managerial experience. Mentor and lead senior machine learning platform engineers, data integration engineers and cloud security engineers.
  • Lead design, architecture and building of cloud based machine learning and AI platforms
  • Work closely with business leaders to understand data, ML and AI needs and act as bridge between business and technology teams.
  • Lead architecture and building of cloud based automation solutions for machine learning and AI related infrastructure.
  • Work closely with DevOps and IT teams and help in selection of HW and SW stack.
  • Evaluate and recommend emerging technologies in the filed of data science, machine learning and artificial intelligence.
  • Lead deployment and release efforts.
  • Look for new ways to improve exiting machine learning and AI platforms (software and hardware).
  • 8-10+ years of strong expertise in hardware, networking, cloud platforms and software.
  • Expertise in working with cloud providers Google, AWS and Azure
  • Prior experience in SaaS company is highly desired. Deployment of solutions for global business use.

 

Technical stack
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  • Google cloud based ML and AI technologies
  • Automated infrastructure deployment (Ansible, Terraform, Cloud formation)
  • Automation using Unix shell scripts, Python, Java, Node and other leading programming languages)
  • Docker, Kubernetes, AWS ECS, AWS EKS, Jenkins

Posted By

Santa Clara, CA, 95050

Dice Id : 10126850
Position Id : AI-ENG
Originally Posted : 6 months ago
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