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About the role
Role:Machine Learning Ops Engineer
Location: Charlotte, NC (preferred)- Plano, TX- Richmond, VA- Atlanta, GA- Jacksonville, FL.- Must sit onsite at least 3 days a week. Duration: 6 Months
Must Haves: Experience with Machine Learning and machine learning tools (Scikit-Learn and Deep Learning (Tensorflow or Keras) 4+ years working on python Cloud platforms- containers, OpenShift, Kubernetes, Bodman (deployments) 4+ years of using Jupyter/Eclipse/Spyder IDE Linux Bash scripting SQL
Job Requirements: • Design the data pipelines and engineering infrastructure to support enterprise machine learning systems at scale • Strong understanding of machine learning concepts, have solid understanding of machine learning techniques, algorithms, and models • Proficiency in Software programming languages such as Python, as well as knowledge of software developments principles and best practices is essential • Familiarity with DevOps practices, including version control, CI/CD and infrastructure automation tools (e.g., Ansible) • Take offline models which data scientists build and turn them into a real machine learning production system • Develop and deploy scalable tools and services for our clients to handle machine learning training and inference • Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems
Experience Required: • 4+ years’ experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent) • 4+ years working on Python • 4+ years of using Jupyter/Eclipse/Spyder IDE • 4+ years of working on Linux environments • Experience working with Openshift, Kubernetes and container platforms • Experience building custom integrations between cloud-based systems using APIs • Experience developing and maintaining ML systems built with open source tools • Strong understanding of software engineering and CI/CD pipeline. • Familiarity with one or more data-oriented workflow orchestration frameworks (Airflow, Argo, etc.) • Ability to translate business needs to technical requirements • Exposure to machine learning methodology and best practices
Bhargavi Ankam IT Recruiter Staffing | Thoughtwave Software and Solutions Limited 6306891366 bhargavi@thoughtwavesoft.com www.thoughtwavesoft.com 314 N. Lake St, Suite 6, Aurora IL 60506
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