Machine Learning DevOps Engineer Job Description Template

Greta Khachatryan

Last updated on December 4, 2024 | 6 min read

Job Description Template

General overview of the role

The Machine Learning DevOps Engineer plays a critical role in ensuring that machine learning models are efficiently deployed, monitored, and scaled to meet the demands of production environments. This role combines expertise in machine learning and DevOps to build automated pipelines for seamless integration and deployment, implement monitoring systems for real-time performance tracking, and establish scalable infrastructures that support the continuous improvement and maintenance of models. Additionally, this position focuses on improving collaboration between data scientists and operations teams, enabling faster iteration cycles and reducing the time to bring AI-driven solutions to market.

Typical duties and responsibilities

• Develop and maintain CI/CD pipelines for machine learning model deployment, ensuring automation and scalability.
• Collaborate with data scientists and machine learning engineers to ensure smooth integration of models into production environments.
• Monitor and maintain the performance, reliability, and scalability of machine learning models once deployed.
• Implement best practices for version control and model management in production environments.
• Work with cloud infrastructure and orchestration platforms (e.g., AWS, GCP, Azure, Kubernetes) to deploy machine learning models.
• Optimize infrastructure for cost efficiency and performance of machine learning systems.
• Automate workflows for model training, evaluation, and deployment to ensure efficient pipelines.
• Ensure security and compliance of models and data through monitoring and auditing.
• Troubleshoot and resolve issues with machine learning models in production environments.

Required skills and experience

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in MLOps, focusing on deploying and maintaining machine learning models in production using CI/CD pipelines and cloud-native tools.
• Experience in DevOps practices, especially in machine learning model deployment.
• Proficiency in programming languages like Python, Java, or Go, and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Expertise in building and maintaining CI/CD pipelines using tools like Jenkins, GitLab, or CircleCI.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud and hands-on experience in containerization tools like Docker and Kubernetes.
• Strong experience with version control systems like Git and knowledge of infrastructure automation tools like Terraform or Ansible.
• Experience with monitoring and logging tools such as Prometheus, Grafana, or the ELK stack.

Nice to have/preferred skills and experience

• Master’s degree in a related field.
• Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow) for managing the machine learning lifecycle.
• Understanding of data governance and security practices within the context of machine learning, ensuring compliance and safeguarding data.
• Familiarity with hybrid or multi-cloud environments and the ability to leverage them for scalable, flexible machine learning operations.
• Experience in optimizing machine learning models for resource efficiency, cost management, and performance improvements.

What we offer

• Extensive health and wellness coverage.
• Work-from-home options and flexible hours.
• Paid time off for vacations, holidays, and sick leave.

Here are a few more benefits that, according to Forbes, are valued by employees:

• Retirement savings plans with employer matching, such as 401(k) plans, are highly valued by employees.
• Early leave on Fridays.
• 4-day work week.
• Private dental insurance.

About us

We recommend including general information about the company, such as its mission, values, and industry focus. For instance, you could say:

“DevsData LLC is an IT recruitment agency that connects top tech talent with leading companies to drive innovation and success. Their diverse team of US specialists brings unique viewpoints and cultural insights, boosting their capacity to meet client demands and build inclusive work cultures. Over the past 8 years, DevsData LLC has successfully completed more than 80 projects for startups and corporate clients in the US and Europe.”

Explore sample resumes

Explore these effective resume examples to guide your focus and priorities during the candidate review.

• Machine Learning Engineer, Developer Resume Sample
• Senior Machine Learning Engineer Resume Sample
• DevOps Engineer Resume Sample

Contact DevsData LLC

If you’re looking to hire a qualified Machine Learning DevOps Engineer, reach out to DevsData LLC at general@devsdata.com or visit www.devsdata.com. The company’s recruitment process is thorough and efficient, utilizing a vast database of over 65000 professionals.

They are renowned for their rigorous 90-minute interviews to assess candidates’ technical skills and problem-solving abilities.

Additionally, DevsData LLC holds a government-approved recruitment license, ensuring compliance with industry standards and regulations.