Manager - AI Observability

Company: T-Mobile USA, Inc.
Location: Frisco
Posted on: April 6, 2025

Job Description:

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 actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
  
  At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here .
  
  At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com .
  
  Never stop growing!
  As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!
  
  T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
  
  Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500 . Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

Keywords: T-Mobile USA, Inc., Frisco , Manager - AI Observability, Executive , Frisco, Texas