MLOps Platform Engineer; SageMaker

Position: MLOps Platform Engineer (Sage Maker)

Location: Plano, Texas (Onsite)

Duration: 12 months with possibility of extension

Job : 177682

We are seeking a skilled MLOps Platform Engineer with expertise in Sage Maker to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining machine learning operations platforms to support scalable and efficient deployment of machine learning models. This role requires a strong understanding of MLOps principles, cloud-based platforms, and a passion for driving innovation in machine learning workflows.

• Design and implement MLOps pipelines to automate deployment and monitoring of machine learning models.
• Leverage Amazon Sage Maker to build, train, and deploy machine learning models at scale.
• Collaborate with data scientists and software engineers to integrate machine learning workflows into production systems.
• Ensure the scalability, reliability, and security of the MLOps platform.
• Monitor and optimize the performance of deployed models and pipelines.
• Stay updated with the latest advancements in MLOps tools and technologies.

• Proven experience in MLOps and deploying machine learning models in production environments.
• Strong expertise in Amazon Sage Maker and other AWS services.
• Proficiency in programming languages such as Python and familiarity with machine learning frameworks.
• Experience with CI/CD pipelines and containerization technologies like Docker and Kubernetes.
• Excellent problem‑solving skills and the ability to work collaboratively in a team environment.
• Strong communication skills to effectively convey technical concepts to non‑technical stakeholders.

Pay Range: $80–$85/hr w2

Full‑time consultants have access to benefits, including medical, dental, vision, and 401(k) contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or local laws.