Please send me your details (resume, work authorization status, current location, availability and compensation expectations) directly to: denis.potapenko@systemone.com for an immediate consideration. Make sure to include both the job title and location of the job if you email me directly.

*** The job is on-site with a hybrid work schedule. Remote work is not an option. Candidates must be local or willing to relocate within commuting distance of Pittsburgh PA or Cleveland OH (Strongsville, OH)

MLOps Engineer / Architect :

- Design, implement, and operate a framework for Machine Learning Operations (MLOps) on AWS cloud
- Build MLOps pipelines orchestration on Amazon SageMaker and/or on-prem (RHEL) leveraging corporate DevOps tools and OpenShift Container Platform (OCP)
- Build and integrate AML Modeling platform into the FRAML (Fraud Detection and Anti-Money Laundering) ecosystem, and design and implement CI-CD practices across the model and application ecosystem
- Review data science models, refactor and optimize code, containerize, deploy, version, and monitor model quality
- Design, develop, integrate, and deploy tools for Data Science and ML Research, such as Model Monitoring, Model Governance, Model Deployment, Data Management, and Feature Engineering
- Test, validate, and automate data science models
- Communicate with a team of data scientists, data engineers, and architects, and document processes

Qualifications :

- Bachelor's or Master's degree in Computer Science/Computer Engineering or related field required
- Relevant AWS/Cloud Computing/ML certifications
- Ability to build MLOps pipelines on AWS SageMaker
- Support for AML Model ecosystem, FRAAML
- Hands-on DevOps experience with CI/CD in Jenkins, Bitbucket, Kubernetes, and OpenShift on AWS cloud platform
- Agile methodologies
- Python/Java
- TensorFlow
- Node.js

Please send me your details (resume, work authorization status, current location, availability and compensation expectations) directly to: denis.potapenko@systemone.com for an immediate consideration. Make sure to include both the job title and location of the job if you email me directly.

PNC Beeline VMS# 134870-1

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