Please send me your details (resume, work authorization status, current location, availability and compensation expectations) directly to: ******** 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 - Cleveland, OH - Dallas, TX - Birmingham, AL - Phoenix, AZ
AWS Cloud / 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: ******** 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
System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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