MLOps Software Engineer

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

Senior MLOps Software Engineer – Chicago, IL (Hybrid Schedule)

DSN is seeking an experienced Senior MLOps Software Engineer to join our team. The role focuses on designing scalable, secure ML production architectures and building MLOps platforms. We offer competitive base pay, full benefits, PTO, 401k, and more.

Base Pay Range: $125,000 – $133,000 per year.

Job Responsibilities

• Define scalable and secure architectures, frameworks and pipelines for building, deploying and diagnosing production ML applications
• Enable users & teams on the ML platform; troubleshoot and debug user issues; maintain user-friendly documentation and training
• Collaborate with internal stakeholders to build a comprehensive MLOps Platform
• Design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., AWS)
• Develop standards and examples to accelerate the productivity of data science teams
• Run code refactoring and optimization, containerization, deployment, versioning, and monitoring of quality, including data & concept drift
• Create automated testing, validation, and deployment workflows for data science models
• Provide best practices and execute POC for automated and efficient MLOps at scale

Education & Experience

• Bachelor’s degree with 5+ years experience
• Master’s degree with 3+ years experience

Required Skills

• 5+ years of experience with an object‑oriented programming language (Python, Golang, Java, C/C++)
• Experience with MLOps frameworks like MLflow, Kubeflow, etc.
• Proficiency in programming (Python, R, SQL)
• Ability to design and implement cloud solutions and build MLOps pipelines on AWS
• Strong understanding of DevOps principles and practices, CI/CD, and tools (Git, GitHub, Artifactory, Azure DevOps, etc.)
• Experience with containerization technologies like Docker and Kubernetes
• Strong communication and collaboration skills
• Ability to translate higher‑level requirements into user stories and tasks

Desired Skills

• Experience building model inference systems with advanced deployment methods that integrate with MLOps components like MLflow
• Knowledge of inference systems such as Seldon, Kubeflow, etc.
• Experience deploying applications in Langfuse or Kubernetes using Helm and Helmfile
• Knowledge of infrastructure orchestration with CloudFormation or Terraform
• Exposure to observability tools (e.g., Evidently AI)

Soft Skills

• Proactive, self‑starting approach to work
• Ability to work independently with minimal supervision

Benefits

• 401(k)
• Vision insurance
• Disability insurance
• Employee assistance program
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Paid holidays

Employment Type: Full-time

Seniority Level: Mid‑Senior

Location: Chicago, IL

To apply, please visit DSN Careers.