Identify new opportunities for ML and AI solutions and build and cultivate relationships with leaders across the organization to foster those partnerships
Influence partners and stakeholders in Data Science and other teams across the organization to prioritize objectives and provide a comprehensive approach to solution recommendations that includes ROI, time to market, scalability as well as alternative recommendations
Communicate effectively with senior leadership to share progress, raise any roadblocks or impediments to delivery, and also spread awareness of your teams’ achievements
Create the strategic roadmap that will guide the direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization

Bachelor’s Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering
5+ years’ experience managing direct reports
5+ years’ experience with microservices software architecture
Proficient in developing in Python
Experience with scripting languages such as shell scripts
Experience in DevOps practices, testing frameworks, and CI/CD
Experience with Model Development and Deployment (MLFlow, Azure ML)

Senior Manager, AI & ML

Key skills