Diversified Services Network, Inc. · 17 hours ago
Sr. MLOps Engineer
Diversified Services Network, Inc. (DSN) is seeking a full-time Senior MLOps Engineer to join our team in Chicago, IL. The role involves supporting the full life-cycle of AI and machine learning development, building a platform for data-driven decisions, and collaborating with internal stakeholders to enhance the MLOps platform.
Information TechnologyProject ManagementSupply Chain Management
Responsibilities
The MLOps Platform Team works within the Enterprise Data and Analytics Organization
Driving the ability to work with Internal Teams to be able to support the full life-cycle of AI and machine learning development through to beyond production
Helping build a platform that enables data driven decisions across the enterprise, helping teams build high-value data and AI/ML products, and enable the operationalization and reliability of all models
This Role as MLOps Engineer will join MLOps Platform team at ServiceNow. Will build the MLOps Platform, build self-service ML Development tooling, and building platform adoption
Work on ideas on how to create a great user experience for those building, deploying, and operationalizing production quality Machine Learning models
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 its quality, including data & concept drift
Create way to automate the testing, validation, and deployment of data science models
Provide best practices and execute POC for automated and efficient MLOps at scale
Qualification
Required
Bachelors degree with 8+ years experience
Master's degree with 6+ years experience
8+ years of experience working with an object-oriented programming language (Python, Golang, Java, C/C++ etc.)
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 cloud solutions (e.g., AWS)
Strong understanding of DevOps principles and practices, CI/CD, etc. and tools (Git, GitHub, jFrog Artifactory, Azure DevOps, etc.)
Experience with containerization technologies like Docker and Kubernetes
Strong communication and collaboration skills
Ability to help work with a team to create User Stories and Tasks out of higher-level requirements
Ability to create model inference systems with advanced deployment methods that integrate with other MLOps components like MLFlow
Knowledge of inference systems like Seldon, Kubeflow, etc
Knowledge of deploying applications and systems in Langfuse or Kubernetes using Helm and Helmfile
Knowledge of infrastructure orchestration using ClodFormation or Terraform
Exposure to observability tools (such as Evidently AI)
Someone who takes the initiative on their own
Someone who does not need to be micromanaged
Benefits
401(k)
Dental insurance
Vision Insurance
Disability insurance
Employee assistance program
Health insurance
Health savings account
Life insurance
Paid time off
Paid Holidays
Company
Diversified Services Network, Inc.
Founded in 1989, DSN remains at the forefront of providing advanced IT Solutions, Project Management, Health and Human Services Consulting and Program Support, Grants Application and Management Consulting, and Staffing services to Fortune 500 companies and governmental entities.
H1B Sponsorship
Diversified Services Network, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (24)
2024 (22)
2023 (12)
2022 (17)
2021 (12)
2020 (9)
Funding
Current Stage
Growth StageCompany data provided by crunchbase