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Machine Learning Engineer

Company: System One
Location: Riverview
Posted on: November 13, 2022

Job Description:

Job Description System One is seeking a Machine Learning Operations Engineer for a full-time/permanent opportunity in Tampa, FL. As the MLOps Engineer on the Digital Strategy Operational Excellence team in our North America Business, you will support the machine learning pipelines and maintenance that scale up to deliver on our AI solutions that have direct impact on our mining/chemical operations. Every day you will have the opportunity to interact with a variety of disciplines such as engineering, IT, product owners, and operations. As the MLE you will be responsible for adhering to our standards and implementing robust lifecycle management of our AI solutions such as model development, staging, new releases, performance monitoring, and troubleshooting. To thrive in this role you must have an innate passion for identifying cause and effect in data with the ability to adapt to a continually changing business and work environment and manage multiple priorities. Work alongside of our Data Scientist to deploy automated model pipelines for validation and deployment. Deliver automated pipelines that monitor model performance and retraining of ML models Develop MLOps standards that promote models through production. Support the lifecycle management of deployed AI solutions Collaborate with stakeholders and communicate changes throughout a model's lifecycle Conduct ML and cloud updates and expand the capabilities of our Data Science platform Triage and classify production tickets using JIRA for existing solutions Our Ideal Candidate Will Have The Following Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science Minimum 4 years of Machine Learning Operations and/or software engineering experience Experience in CI/CD pipelines for ML environments and lifecycle management such as: development, deployment, monitoring, troubleshooting Deep understanding of Azure DevOps, Azure ML, and corresponding features such as Azure Repos and Container Instances Ability to develop in Python and corresponding packages such as Pandas, Scikit Learn and API protocols Experience in developing infrastructure as code such as Terraform, Docker and Kubernetes Proven understanding of Data Science concepts Ability to develop in SQL syntax Demonstrated problem solving techniques and analytical skills Bonus Points If You Have The Following Experience in cloud hosted solutions for manufacturing industry experience Familiarity with project management. Agile/SCRUM experience Experience with multiple DCS/PLC platforms including Rockwell PLC RSLogix, Novatech D/3 Advanced user in Microsoft Office Suite Azure DevOps, AzureML, and Azure SQL Server or Synapse AVEVA/OSISoft PI data historian LI-SG1

Keywords: System One, Tampa , Machine Learning Engineer, Other , Riverview, Florida

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