About this opportunity
Diversified Services Network, Inc. lists this MLOps Software Engineer opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
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 .
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.