Job Specifications
Senior MLOps Software Engineer
Location: Chicago, IL (Hybrid)
Job Type: W2 Contract
Schedule: Monday - Friday, 8:30am-4:30pm CST
Pay Rate: $70-75/hourly with optional benefits packages including PTO, medical insurance, and 401k
Job Summary:
The MLOps Platform Team works within the Enterprise Data and Analytics Organization at Caterpillar.
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.
We are searching for a driven and highly skilled MLOps Engineer to join our MLOps Platform team at ServiceNow.
The role will build the MLOps Platform, build self-service ML Development tooling, and building platform adoption.
You have ideas on how to create a great user experience for those building, deploying, and operationalizing production quality Machine Learning models.
Position’s Contributions to Work Group:
The MLOps Platform Team works within the Enterprise Data and Analytics Organization at Caterpillar.
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.
We are searching for a driven and highly skilled MLOps Engineer to join our MLOps Platform team at ServiceNow.
The role will build the MLOps Platform, build self-service ML Development tooling, and building platform adoption.
You have ideas on how to create a great user experience for those building, deploying, and operationalizing production quality Machine Learning models.
Typical Task Breakdown:
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
Education & Experience Required:
Bachelors degree with 5+ years experience
Master’s degree with 3+ years experience
Required Technical Skills (Required):
5+ 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
Nice to Have:
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)
Soft Skills (Required):
Someone who takes the initiative on their own
Someone who does not need to be micromanaged
About the Company
Why Choose Epitec?
Founded in 1978 and headquartered in Southfield, Mich., with regional hubs in Chicago, Central Illinois, and Dallas, Epitec is dedicated to making staffing personal. Our customers include Fortune 500 companies across the United States, providing you access to high demand career opportunities.
What Makes Epitec Different?
Our flexible workforce model is designed with you in mind. Whether you're looking for contract-to-hire, direct hire, or other employment options, we tailor our services to fit your career...
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