MLOPS Cloud Engineer

We are looking for a skilled MLOps Cloud Engineer to join our team and help operationalize and scale our machine learning infrastructure. The ideal candidate will have strong experience in cloud infrastructure (primarily AWS), infrastructure-as-code, automation, and DevOps practices, with a solid understanding of ML workflows. This role will be key in collaborating with application and data science teams to enable scalable, reliable, and secure ML solutions.

• Design, build, and maintain cloud infrastructure using Terraform and CloudFormation.
• Work with a variety of AWS services including (but not limited to) AWS Glue, Lambda, Step Functions, ECS, EKS, EC2, CloudWatch.
• Support integration with additional services such as IAM, SageMaker, and EMR.
• Collaborate with application and ML teams to enable seamless deployment and operation of ML workloads.
• Develop and maintain Python and Shell scripts to automate workflows and infrastructure tasks.
• Implement CI/CD pipelines and automation using GitHub Actions.
• Follow Agile development practices and participate in sprint planning, stand-ups, and retrospectives.
• Ensure monitoring, alerting, and reliability best practices are in place for ML systems.

• Hands-on experience with Terraform and/or AWS CloudFormation.
• Strong experience with AWS services, particularly those related to data and ML pipelines.
• Proficient in Python and Shell scripting.
• Familiarity with GitHub Actions and automation of CI/CD pipelines.
• Experience working directly with application or engineering teams.
• Comfortable operating in an Agile environment.

• General knowledge of AI/ML workflows and experience with MLOps tooling.
• Familiarity with additional AWS services like SageMaker and EMR.
• Experience with Azure cloud (not required, but a plus).

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.