MLOps Platform Engineer (SageMaker)

TL;DR

MLOps Platform Engineer (SageMaker): Designing, implementing, and maintaining machine learning operations platforms to support scalable model deployment with an accent on Amazon SageMaker and AWS infrastructure. Focus on automating pipelines, ensuring system reliability, and collaborating with data science teams to integrate workflows into production.

Location: Must be based in Plano, Texas (Onsite)

Salary: $80–$85/hr (approx. $128,000–$136,000/year)

Company

hirify.global is a leading provider of information technology and workforce solutions with a vast network of professionals across the U.S. and Canada.

What you will do

• Design and implement MLOps pipelines to automate model deployment and monitoring.
• Leverage Amazon SageMaker to build, train, and deploy machine learning models at scale.
• Collaborate with data scientists and software engineers to integrate workflows into production.
• Ensure the scalability, reliability, and security of the MLOps platform.
• Monitor and optimize the performance of deployed models and pipelines.

Requirements

• Proven experience in MLOps and deploying machine learning models in production.
• Strong expertise in Amazon SageMaker and AWS services.
• Proficiency in Python and familiarity with machine learning frameworks.
• Experience with CI/CD pipelines, Docker, and Kubernetes.
• Must be able to work onsite in Plano, Texas.

Culture & Benefits

• Access to medical, dental, and vision insurance.
• 401K contributions.
• Paid Time Off (PTO) and sick leave.
• Opportunity for contract extension after 12 months.