Date: 4 weeks ago
City: Strongsville, Ohio
Contract type: Full time

Skill: ML Ops Engineer
- As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models.
- You will help automate and streamline Model development and Model operations.
- You will build and maintain tools for deployment, monitoring, and operations.
- You will also troubleshoot and resolve issues in development, testing, and production environments.
- Enable Model tracking, model experimentation, Model automation.
- Develop scalable ML pipelines.
- Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS.
- Work across all phases of Model development life cycle to build MLOPS components.
- Build the knowledge base required to deliver increasingly complex MLOPS projects on the Cloud(AWS, Azure, GCP)/On Prem.
- Be an integral part of client business development and delivery engagements across multiple domains.
- Must have skills: Big Data Hadoop, Data Science, Machine Learning models, MLOps, Hopswork
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