Work in Washington Veterans Jobs

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! Job Overview The Manager, Machine Learning Engineering will oversee the strategic implementation and operational management of artificial intelligence (AI) and machine learning (ML) projects. This role involves coordinating multi-functional teams, optimizing processes, and ensuring that AI/ML models are effectively integrated into business operations. The ideal candidate will have a solid technical background, excellent leadership skills, and a passion for driving innovation through AI and ML technologies. This role has responsibility for hiring, termination, development, performance, and salary decisions. The chief contribution of the Manager is their ability to make decisions regarding the short and long-term planning of resources. Job Responsibilities: Lead and manage AI and ML operations, ensuring alignment with organizational goals and objectives. Collaborate with data scientists, data engineers and UI developers to design, develop, and deploy AI/ML models and solutions. Manage and evaluate the performance of AI/ML systems, making recommendations for improvements and optimizations. Develop and implement operational strategies, policies, and best practices for AI/ML workflows. Lead project timelines, budgets, and resources to ensure successful delivery of AI/ML initiatives. Education:Bachelor's Degree Data Science, Computer Science/Engineering, Information Technology (Required) Work Experience:2-4 years Proven experience of leading highly effective teams, fostering teamwork and driving performance within the AI/ML operations environment. (Required) 4-7 years Proven track record of managing complex CI/CD pipelines, governing the ML models, version tracking, maintaining data lineage and applying best practices (Required) Knowledge, Skills and Abilities: Data Platforms: Solid understanding of AI and ML concepts, frameworks, and methodologies coupled with, a deep understanding of cloud platforms and services (e.g., Azure, Google Cloud, AWS) for AI/ML deployment and scaling. (Required) Programming Proficiency in programming languages such as Python, R, or Java, and experience with AI/ML libraries (e.g., Pyspark, TensorFlow, PyTorch, Scikit-learn). (Required) Reasoning: Experience with data management and analysis tools, including SQL and data visualization software. (Required) Innovation Stay ahead of industry trends, technologies, and standard methodologies in AI/ML to drive innovation. (Required) Project Management Excellent project management skills, with a proven track record of successfully managing multiple projects simultaneously. (Required) Strategic Thinking Strong analytical and problem-solving skills, with the ability to interpret complex data sets. (Required) Communication Exceptional communication and social skills, capable of working effectively with diverse teams and partners. (Required) Licenses and Certifications: Certified Artificial Intelligence Practitioner (CAIP) (Preferred) AWS Certified Machine Learning Specialty (Preferred) Project Management Professional (PMP) (Preferred) * At least 18 years of age * Legally authorized to work in the United States Travel: Travel Required (Yes/No):No DOT Regulated: DOT Regulated Position (Yes/No):No Safety Sensitive Position (Yes/No):No Base Pay Range: $155,300 - $280,100 Corporate Bonus Target: 15% The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's