MLOps / DevOps Engineer
Job Description
Hybrid 3 on in Charlotte, NC
Our client seeks a senior MLOps / DevOps Engineer focused on platform and infrastructure. The role emphasizes building and operating reliable, scalable, and automated cloud environments that enable machine learning development and deployment. You will collaborate with data scientists, platform teams, and product owners to provision infrastructure as code, implement CI/CD automation, and improve developer experience through tooling and documentation.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $70.00 to $81.00/hr. w2
JN -062026-107530
Responsibilities:- Design, build, and maintain cloud infrastructure using Terraform.
- Develop and manage CI/CD pipelines with GitHub Actions for build, test, and deployment automation.
- Support and improve MLOps platforms with a focus on reliability, scalability, and automation.
- Debug and resolve issues across Terraform deployments, pipelines, and cloud services.
- Automate environment provisioning, configuration, and lifecycle management.
- Implement monitoring, logging, and alerting to ensure platform health and performance.
- Collaborate with data scientists and engineers to streamline model deployment and promotion to production.
- Contribute to repository management, version control practices, and code quality standards.
- Drive developer experience improvements through tooling, documentation, and self-service capabilities.
- Strong experience with Terraform for infrastructure provisioning and automation.
- Proficiency in Python for automation, tooling, and integrations.
- Hands-on experience with GitHub Actions or similar CI/CD systems, including pipeline design and migration.
- Strong understanding of Git operations, CI/CD principles, and DevOps practices.
- Experience with AWS.
- Experience with containerization and orchestration.
- Familiarity with the machine learning lifecycle and model deployment workflows.
- Experience supporting ML platforms, data pipelines, or model infrastructure preferred.
- Strong communication skills and ability to work cross-functionally.
- Problem-solving mindset with attention to detail and shared ownership.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:
· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact [email protected].
