Senior MLOps Engineer: Build Scalable ML Pipelines

Diversified Services Network, Inc.; Chicago (IL); Hybrid; USD 125,000 - 133,000; Full time

Benefits offered by this job

401(k)

Health insurance

Paid time off

Disability insurance

Life insurance

Job summary

A technology services company is seeking a Senior MLOps Software Engineer in Chicago, IL, to design scalable ML production architectures. This hybrid role requires expertise in object-oriented programming, cloud solutions, and MLOps frameworks. The position offers competitive compensation with comprehensive benefits, including 401(k), health insurance, and paid time off. This is a full-time role for mid-senior level candidates who can thrive in a collaborative environment.

Qualifications

• 5+ years of experience with an object-oriented programming language.
• Experience with MLOps frameworks like MLflow and Kubeflow.
• Ability to design and implement cloud solutions and build MLOps pipelines.

Responsibilities

• Define scalable architectures for ML applications.
• Enable users on the ML platform and troubleshoot issues.
• Collaborate with stakeholders to build MLOps platform.

Skills

Object-oriented programming (Python, Golang, Java, C/C++)

MLOps frameworks (MLflow, Kubeflow)

Programming proficiency (Python, R, SQL)

Cloud solutions design (AWS)

DevOps principles and practices

Containerization technologies (Docker, Kubernetes)

Communication and collaboration skills

Translating requirements into user stories

Education

Bachelor's degree with 5+ years experience

Master's degree with 3+ years experience

Tools

Git

GitHub

Artifactory

Azure DevOps

Job description

A technology services company is seeking a Senior MLOps Software Engineer in Chicago, IL, to design scalable ML production architectures. This hybrid role requires expertise in object-oriented programming, cloud solutions, and MLOps frameworks. The position offers competitive compensation with comprehensive benefits, including 401(k), health insurance, and paid time off. This is a full-time role for mid-senior level candidates who can thrive in a collaborative environment.