T-Mobile is looking to advance its AI-driven initiatives by enhancing customer interactions and operational efficiency through the design, development, and deployment of machine learning models.
Requirements
- Experience in developing or deploying ML models (academic, internship, or professional experience acceptable).
- Solid understanding of classic supervised and unsupervised machine learning algorithms (e.g., classification, clustering, regression, SVM) (Required)
- Proficiency in data manipulation and analysis using Apache Spark, Databricks, and Snowflake for big data processing (Required).
- Proficiency in Python or R (Required).
- Strong foundation in probability, statistics, and mathematics (Required).
- Experience with cloud technologies for model training and deployment (Preferred).
- Familiarity with deep learning architectures (LSTM, CNNs) and LLMs (Preferred).
Responsibilities
- Assist in designing, developing and refining machine learning models
- Support data preparation, training, testing, and evaluation for ML and deep learning models.
- Build and maintain data pipelines for large-scale training and inference
- Optimize model performance, including feature engineering, hyperparameter tuning, and algorithm selection.
- Work with large language models (LLMs) and leverage ML frameworks for training, testing and evaluation.
- Collaborate with data scientists and engineering teams to integrate ML models into production systems and ensure scalability.
- Utilize platforms such as Databricks, Snowflake, and Apache Spark to build and manage ML pipelines.
Other
- Bachelor's Degree in Computer Science, Engineering, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Required).
- Master's/Advanced Degree in Computer Science, Machine Learning, Data Science, or a related field (Preferred).
- Ability to work in cross-functional teams to integrate AI technologies into production (Required).
- Strong problem-solving and analytical skills to troubleshoot ML solutions (Required).
- At least 18 years of age
