MLOps Engineer

JOB DESCRIPTION | MLOps Engineer | Rose International

Job Title: MLOps Engineer

Location: Chicago, IL

Duration: 13 months

Must-Have Skills

·        AWS

·        GoLang

·        Java

·        MLOps (Machine Learning Operations)

·        Python

Education Requirements: Bachelor''s degree or Master''s degree

Required Skills:

·        Bachelor''s plus 5  years of experience, Master''s plus 3  years of experience

·        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

Preferred Skills:

·        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 CloudFormation or Terraform

·        Exposure to observability tools (such as Evidently AI)

MLOps Engineer Overview:

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. 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. 

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 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