MLOps / ML Operations Engineer Full Time

• 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 – Cleveland, OH – Dallas, TX – Birmingham, AL – Phoenix, AZ

MLOps / ML Operations Engineer

• The ideal candidate will be responsible for building an automated DevOps pipeline to support the deployment of machine learning models to multiple targets and developing new strategies for Fraud and AML.
• Design, implement, and operate a framework for Machine Learning Operations (MLOps) on AWS
• Build MLOps pipelines orchestration on Amazon SageMaker
• 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, including Model Monitoring, Model Governance, Model Deployment, Data Management, and Feature Engineering
• Test, validate, and automate tests for data science models
• Collaborate with data scientists, data engineers, and architects, and document processes
• Continuously evolve the existing platform capabilities and stay up to date with new offerings

Qualifications

• Experience in automating infrastructure setup and application deployment
• Experience in setting up and using AWS components, especially SageMaker, Athena, EMR (Elastic MapReduce), Glue, EC2, Lambda, ECR (Elastic Container Registry), ELB (Elastic Load Balancing), Direct Connect, and Route53
• Strong background in Linux/Unix Administration
• Experience building automated CI/CD pipelines with Jenkins
• Proficiency in Python, AWS CLI, Terraform, YAML, and JSON
• Experience with containers and orchestration using Docker, Kubernetes, OpenShift, ECS (Elastic Container Service), and EKS (Elastic Kubernetes Service)
• AWS Certified DevOps Engineer, AWS Certified SysOps Administrator, or AWS Certified Advanced Networking certification preferred
• Bachelor’s degree in Computer Science or Software Engineering

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# 129276-1