What are the responsibilities and job description for the MLOps Engineer position at Diversified Services Network, Inc.?
Diversified Services Network, Inc. (DSN) is seeking a full-time MLOps Engineer to join our team in Chicago, IL! We offer 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:
- 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 OR
- Master’s degree with 3 years experience
REQUIRED SKILLS:
- 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.
DESIRED 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)
SOFT SKILLS REQUIRED:
- Demonstrates a proactive, self-starting approach to work
- Able to work independently with minimal supervision
- 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