T-Mobile is looking for a Manager, AI/ML to bridge the gap between cutting-edge AI initiatives and real business needs, ensuring technical work stays tightly aligned with business priorities.
Requirements
- Proven experience of leading highly effective teams, fostering teamwork and driving performance within the AI/ML operations environment.
- Proven track record of managing complex CI/CD pipelines, governing the ML models, version tracking, maintaining data lineage and applying best practices
- Solid understanding of AI and ML concepts, frameworks, and methodologies.
- Deep understanding of cloud platforms and services (e.g., Azure, Google Cloud, AWS) for AI/ML deployment and scaling.
- Proficiency in programming languages such as Python, R, or Java, and experience with AI/ML libraries (e.g., Pyspark, TensorFlow, PyTorch, Scikit-learn).
- Experience with data management and analysis tools, including SQL and data visualization software.
- Strong analytical and problem-solving skills, with the ability to interpret complex data sets.
Responsibilities
- Lead and manage AI and ML operations, ensuring alignment with organizational goals and objectives.
- Lead and develop a high performing team of data scientists to design, develop, and execute high-impact 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.
- Facilitate communication between technical teams and business partners to ensure understanding of project scope and requirements.
- Stay ahead of industry trends, technologies, and standard methodologies in AI/ML to drive innovation.
Other
- Bachelor’s degree in Computer Science, Information Technology or Data Science, engineering or a related field.
- At least 18 years of age
- Legally authorized to work in the United States
- Full people management responsibilities, including hiring, development, performance, and compensation decisions.
- Excellent project management skills, with a proven track record of successfully managing multiple projects simultaneously.
