Job Description

Experience Range: 5 to 12 yrs (min 4 years relevant)Responsibilities:Enable Model tracking, model experimentation, Model automationDevelop ML pipelines to supportDevelop MLOps components in Machine learning development life cycle usingModel Repository (either of): MLFlow, Kubeflow Model RegistryMachine 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 AzureBe an integral part of client business development and delivery engagements across multiple domainsQualifications & Experience:Strong experience in System Integration, Application Development or Data-Warehouse projects across technologies used in the enterprise spaceBasic Knowledge of MLOps, machine learning and dockerObject-oriented languages (e.g. Python, PySpark, Java, C#, C++ )Database programming using any flavors of SQLKnowledge of Git for Source code management.Ability to collaborate effectively with highly technical resources in a fast-paced environment.Ability to solve complex challenges/problems and rapidly deliver innovative solutions.Foundational Knowledge of Cloud Computing Azure.Hunger and passion for learning new skillsPrimary Responsibilities:Develop and implement AI and machine learning strategies to drive healthcare solutions, build and test machine learning and deep learning modelsBuild robust machine learning pipelines to support production processesProcess and transform source data to be used in machine learning pipelines, leveraging cloud computingCollaborate with cross-functional teams to determine applicability of AI to business problemsCommunicate findings with business stakeholders and collaborate to develop solutions that meet customer needsDevelop code and model documentation and assist with model governance approvalsClearly document and following best coding practices with Python packages, etc. along with the use of GitHubCreate and present presentations in the form of presentations and written documents of analysis results to Optum AI and business leaders

Acura Solutions