Sr. MLOps Engineer

Diversified Services Network, Inc. (DSN) is seeking a full-time Senior MLOps Engineer to join our team in Chicago, IL! We offer a hybrid work model, full benefits, PTO, 401k, and more! If you're looking to grow your technical career within an extremely reputable, stable Fortune 500 company - let's talk!

JOB 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

EDUCATION & EXPERIENCE REQUIRED:

·         Bachelors degree with 8+ years experience

·         Master’s degree with 6+ years experience

REQUIRED SKILLS:

·         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)

 SOFT SKILLS REQUIRED:

·         Someone who takes the initiative on their own   

·         Someone who does not need to be micromanaged

·         401(k)

·         Dental insurance

·         Vision Insurance

·         Disability insurance

·         Employee assistance program

·         Health insurance

·         Health savings account

·         Life insurance

·         Paid time off

·         Paid Holidays

Please follow the link to our website for a list of job openings in Engineering, IT, Project Management, and more! https://www.dsnworldwide.com