What are the responsibilities and job description for the Azure ML Platform Engineer position at Talent Group?
Job Details
Job Description:
Overview: We are looking for Azure ML Platform engineer to enhance/build the Azure ML environment to support the growing need to execute business processes. Also, improving the resiliency, addressing security vulnerabilities, managing access control, monitoring, and alerting on events/issues, and managing the cost of groups of applications.
Role Description and Expectations
- Review the current ML architecture, identify gaps, and design a resiliency solution.
- Implement the design for all environments.
- Implement and test High Availability and Disaster Recovery strategy by design.
- Develop best practice guidelines for common patterns in development, deployment, and operations.
- Develop defined CICD pipelines for application deployment automation.
- Establish monitoring and auditing process for environment health, run status, and access.
- Enhance current security controls for users and process authorization.
Qualifications
- Azure ML platform development and support.
- 4 years of AI/ML platform engineering experience. 5 years of experience developing platform orchestration code in Azure.
- Azure CLI, Python, Terraform as primary. Understanding Java.
- Strong experience with delivering Cloud Infrastructure as Code leveraging CI/CD, Terraform, and Git Actions.
- Experienced with AI ecosystem tooling - AIOps (evaluation, monitoring, governance, security).
- Must be a self-starter, and ability to take independent action to achieve results. Highly developed critical thinking, analytical, and problem-solving skills
- B.S. of Computer Science or related fields.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
