MLOps Platform Engineer (SageMaker)

PTR Global; Plano (TX); On-site; USD 160,000 - 180,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) contributions

PTO

Sick leave

Job summary

PTR Global, located in Plano, Texas, is seeking an experienced MLOps Platform Engineer to enhance its machine learning operations. You will design, implement, and optimize MLOps pipelines that facilitate the deployment of machine learning models. Collaboration with data scientists and software engineers is key to this role.

The ideal candidate possesses a strong background in MLOps, particularly with Amazon SageMaker, and is proficient in Python. The role offers hourly pay ranging from $80 to $85 and includes comprehensive benefits.

Qualifications

• Proven experience in MLOps and deploying machine learning models in production environments.
• Strong expertise in Amazon SageMaker 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.

Responsibilities

• Design and implement MLOps pipelines to automate deployment and monitoring of machine learning models.
• Leverage Amazon SageMaker 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.

Skills

MLOps principles

Amazon SageMaker

Python

Docker

Kubernetes

CI/CD pipelines

Job description

Position: MLOps Platform Engineer (SageMaker)

Location: Plano, Texas (Onsite)

Duration: 12 months with possibility of extension

Job ID: 177682

Job Overview

We are seeking a skilled MLOps Platform Engineer with expertise in SageMaker 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.

Responsibilities

• Design and implement MLOps pipelines to automate deployment and monitoring of machine learning models.
• Leverage Amazon SageMaker 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.

Qualifications

• Proven experience in MLOps and deploying machine learning models in production environments.
• Strong expertise in Amazon SageMaker 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.

Benefits

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.