Lead ML/AI Engineer

This is a 12-18 month contract with UHG. 100% remote. All visa open. Linkedin is must. MS Team Interview. Project: We are establishing Agile Data Warehouse in cloud and many new AI practices to enable personalization in various capabilities to improve employee experience. The role You will lead a team of Data Engineers and Data Scientists and be their single point of contact for technical clarification and impediment resolution. Participate in sessions with business stakeholders to translate business objectives into clearly defined AI and Analytical projects. You will create and maintain the master architecture representation and create a modular and scalable solution design. Primary Responsibilities: Identify opportunities for Data Engineering and AI to enhance the core product platform, select the best machine learning techniques to the specific business problem and then build the models that solve the problem. Architect and design AI/ML and Analytics solutions and cloud services Own the end-end process, from recognizing the problem to implementing the solution. Establish DataOps and MLOps principles and best practices TOP 3 SKILLS AI/ ML Solution design Strong problem solving and troubleshooting skills with the ability to exercise mature judgment. MLOps Ideal Background: Hands on experience with modern application - microservices, Cloud and CI/CD 5-7 years of hands on Data and AI engineering work Good communication with developing architecture and design documentation Required: Bachelor's Degree or master's degree in Computer Science. 5 years of hands-on software engineering experience. Demonstrated AI/ML solution design experience Team Handling / Lead exp Dataware House Exp Proven work experience in Spark, Python, SQL, Any RDBMS. Familiarity with Azure Data Lake, Synapse, ADF, Power BI. Experience building, deploying and maintaining ML models in production Experience with MLOps tools such as ModelDB, MLFlow and Kubeflow. Familiar with best practices in the data engineering and MLOps community. Ability to convey complex concepts and ideas in a clear and concise manner to a wide range of audience internal business stakeholders, outside partners and technology teams. To be able to work in a fast-paced agile development environment. Proven track record in working with diverse teams to achieve goals Strong problem solving and troubleshooting skills with the ability to exercise mature judgment. Preferred: Experience with AzureML Expert in Azure Synapse, Azure Container Registry, Azure App services