Manager – AI Observability
Company | T-Mobile |
---|---|
Location | Frisco, TX, USA, Bellevue, WA, USA, Overland Park, KS, USA |
Salary | $155300 – $280100 |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s Degree Data Science, Computer Science/Engineering, Information Technology (Required)
- 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)
- 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)
- Proficiency in programming languages such as Python, R, or Java, and experience with AI/ML libraries (e.g., Pyspark, TensorFlow, PyTorch, Scikit-learn). (Required)
- Experience with data management and analysis tools, including SQL and data visualization software. (Required)
- Excellent project management skills, with a proven track record of successfully managing multiple projects simultaneously. (Required)
- Strong analytical and problem-solving skills, with the ability to interpret complex data sets. (Required)
- Exceptional communication and social skills, capable of working effectively with diverse teams and partners. (Required)
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.
Preferred Qualifications
- Certified Artificial Intelligence Practitioner (CAIP) (Preferred)
- AWS Certified Machine Learning Specialty (Preferred)
- Project Management Professional (PMP) (Preferred)