Description:   *** Cannot provide sponsorship upon conversion. What is the specific title of the position? Lead Data and AI Engineer Work location? Preferred Locations - MA or MN (Client facilities). 100% telecommute is also considered. Work hours (ex. 9am-5pm day/night shifts rotating shifts etc)? 9-5 Please provide a summary of the project/initiative that this candidate will be working on? We are establishing Agile Data Warehouse in cloud and many new AI practices to enable personalization in various capabilities to improve employee experience. Please describe the team the candidate will be working with - how many members? 10 – 12 team members What is the break-down of the teams skill sets (ex: 1 PM 4 Developers etc.)? 1 PM, 3 Product owners 2 Sprint teams consisting - 1 Scrum Masters and 12 developers What are the top 5-10 responsibilities for this position (please be detailed as to what the candidate is expected to do or complete on a daily basis)? • 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 What does the ideal candidate background look like (ex: healthcare specific background specific industry experience etc.)? a. Hands on experience with modern application – microservices, Cloud and CI/CD b. 5-7 years of hands on Data and AI engineering work c. Good communication with developing architecture and design documentation What skills/attributes are required (please be detailed as to number of years of experience for each skill)? • Bachelor's Degree or master's degree in Computer Science. • 5+ years of hands-on software engineering experience. • Demonstrated AI/ML solution design experience • 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. What skills/attributes are preferred (what will set a candidate apart)? • Experience with AzureML • Expert in Azure Synapse, Azure Container Registry, Azure App services Of the required skills listed, which would you consider the top 3? Please list your expectations regarding years of experience for each requirement. a. AI/ ML Solution design b. Strong problem solving and troubleshooting skills with the ability to exercise mature judgment. c. MLOps What will the interview process look like? (Video phone or in person? How many rounds? How technical will the interviews be?) a. How many rounds? 2-3 b. Video vs. phone? Video c. How technical will the interviews be? Mostly technical