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Career Band: L07 Be unstoppable with us! T-Mobile is synonymous with innovation-and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we're shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won't stop! Position summary T-Mobile is America's supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Senior managers, Software Development located in Snoqualmie, WA will establish and evolve closed-loop analytics and automation platforms, architectures, and solutions. Position duties and responsibilities include, but are not limited to: Support Machine Learning (ML) projects from strategy through implementation and ongoing improvements in collaboration with cross-functional stakeholders. Use knowledge of software industry best practices to translate real world problems into data science problems, solve the problems using current data science/ML engineering methodologies, and develop software solutions for large scale hybrid cloud environment with integration to multiple platforms/systems. Work with Machine Learning solutions using various supervised/unsupervised. Collaborate with users and developers on the efficient use of visualization tools for self-service. Lead analytics/automation proof of concepts. Monitor and measure work tasks to ensure deliverables are provided on time, high quality and within budget. Guide direct reports and team members, delivering feedback and delivering appropriate direction. Hold development discussions with direct reports and provide challenging assignments to promote development with individual career goals in mind. Translate broader business initiatives into clear team objectives and concrete individual goals, aligning appropriately with other groups for efficient, coordinated action. Measure deliverables to determine success of goals, gain input from stakeholders, and adapting action plan as necessary. Plan for and ensure that management and development staff have tools/skills required to perform job functions (workstations, software, servers, disk space, training, etc.). Continue the advancement of Splunk Centre of Excellence across the Enterprise for log aggregation, Security, and ML. Establish and implement knowledge-based processes and methodologies that utilize software industry standards including CMMI, ISO, ITIL, and Six Sigma. Less than 10% travel required. Telecommuting is permitted, but applicants must live within a reasonable commuting distance. Skill requirements: (1) Working through the full lifecycle Machine Learning (ML) engineering processes, including understanding of Artificial Intelligence (AI) to lead and deliver ML/AI initiatives; (2) Developing large scale business systems applications using on-prem infrastructure, cloud platform infrastructure services, tools including Azure ML/AWS Sage maker, Supervised, Unsupervised (SciKit, Random Forest) using Python & R Server, Deep Reinforcement (Keras-Theano) vscode, Jupiter notebooks, RStudio, Power BI, Tableau, reporting services, agile development, and DevOps deployment methodology; (3) Building and supporting distributed systems at scale including Data Warehouse, Data Lake, and Databases including Graph and SQL; (4) Managing a team of engineers in a team lead, supervisor or manager capacity; (5) Working on Azure ML cloud-based services and on-prem supporting infrastructure to negotiate with vendors for new products and services; and (6) Using knowledge of modern programming languages inc