MLOps EngineerLocation: Chicago, IL
Position Summary
Seeking an experienced MLOps Engineer to design, build, and support scalable machine learning infrastructure and cloud-based MLOps pipelines. The ideal candidate will have strong software engineering, DevOps, and cloud experience, with expertise in automating the ML lifecycle from development through production deployment.
Required Qualifications- Bachelor's degree with 5+ years of experience, or Master's degree with 3+ years of experience in Computer Science, Data Science, Engineering, or a related field.
- Strong programming skills in Python, Golang, Java, or C/C++.
- Hands-on experience with MLOps platforms such as MLflow, Kubeflow, or similar tools.
- Proficiency in Python, R, and SQL for data processing, model development, and automation.
- Experience building scalable cloud-based MLOps solutions, preferably on AWS.
- Strong understanding of DevOps practices, CI/CD pipelines, and version control.
- Experience with Git, GitHub, JFrog Artifactory, Azure DevOps, or similar tools.
- Hands-on experience with Docker and Kubernetes.
- Excellent communication, collaboration, and Agile delivery skills.
Preferred Qualifications- Experience working in Agile environments.
- Strong automation and problem-solving capabilities.
- Passion for building reliable, scalable, production-ready machine learning platforms and infrastructure.
