IT Software Engineer

Role Overview

• The MLOps Platform Team works within the Enterprise Data and Analytics Organization at Client.
• 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 Service Now.
• The role will build the MLOps Platform, build self-service ML Development tooling, and building platform adoption.
• You have ideas on how to create great user experience for those building, deploying, and operationalizing production quality Machine Learning models.

$69.00 - $70.00/hr.

• 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 Dev Ops principles and practices, CI/CD, etc. and tools (Git, Git Hub, jFrog Artifactory, Azure Dev Ops, 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 Clod Formation 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.

The typical base pay for this role across the U.S. is: $69.00 - $70.00/hour
. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages.

Packages may include medical, denmatch, lifeion benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus.

Sick leave and mobile phone reimbursement provided based on state or local law.

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