Design and implement scalable AI platform solutions to support machine learning workflows.
Experience building and delivering software using the Python programming language, exceptional ability in other programming languages will be considered.
Demonstratable experience deploying the underlying infrastructure and tooling for running Machine Learning or Data Science at Scale using Infrastructure of Code
Experience using DevOps to enable automation strategies
Experience or awareness of MLOps practices and building pipelines to accelerate and automate machine learning will be looked upon favorably
Manage and optimize the deployment of applications on Amazon EKS (Elastic Kubernetes Service).
Implement Infrastructure as Code using tools like Terraform or AWS CloudFormation.
Provision and scale AI platforms such as Domino Data Labs, Databricks, or similar systems.
Collaborate with cross-functional teams to integrate AI solutions into the AWS cloud infrastructure.
Drive automation and Develop DevOps pipelines using GitHub and GitHub Actions.
Ensure high availability and reliability of AI platform services.
Monitor and troubleshoot system performance, providing quick resolutions.
Stay updated with the latest industry trends and advancements in AI and cloud technologies.
Experience working with GxP compliant life science systems will be looked upon favorably
Qualifications
Proven hands-on experience with Amazon EKS and AWS cloud services.
Strong expertise in Infrastructure as Code with Terraform and AWS CloudFormation.
Strong expertise with Python programming.
Experience in provisioning and scaling AI platforms like Domino Data Labs, Databricks, or similar systems.
Solid understanding of DevOps principles and experience with CI/CD tools like GitHub Actions.
Familiarity with version control using Git and GitHub.
Excellent problem-solving skills and the ability to work independently and in a team.
Strong communication and collaboration skills.
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