MLOps Platform Engineer (SageMaker)

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 the 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.

About PTR Global

At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $80 - $90/hr. W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.