MLOps Engineer

Any visa except H1B Job Title - MLOps Engineer Location: Chicago IL - Onsite 2-3 days a week/ no exceptions. Duration: 12 months Candidates should have industry experience in heavy equipment manufacturing or similar OEM environments in their career 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. 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.