ML Oops Engineer
Apply NowCompany: Diverse Lynx LLC
Location: Pittsburgh, PA 15237
Description:
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.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.