At T-Mobile, the Senior Engineer, Machine Learning plays a pivotal role in advancing AI capabilities, focusing on the design, development, and deployment of large language models (LLMs) and generative AI solutions. This position is essential for building scalable, production-grade AI systems that enable automation, personalization, and intelligent decision-making across the enterprise.
Requirements
- 1+ year of experience in designing, developing, and deploying large language models (LLMs) and generative AI systems in production environments (Required)
- 5+ years of experience building and maintaining end-to-end ML pipelines, including data ingestion, training, deployment, monitoring, and optimization (Required)
- 3+ years of experience applying MLOps practices and leveraging cloud platforms (AWS, GCP, or Azure) for scalable AI solutions (Required)
- Experience implementing fine-tuning, evaluation, and benchmarking techniques for LLMs and generative AI applications (Preferred)
- 5+ years of experience collaborating with cross-functional teams (engineering, data science, and product) to deliver AI-powered applications (Required)
- 2+ years of experience in programming languages such as Python/R, Java/Scala, and/or Go, with hands-on experience in frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face (Required)
- 2+ years of experience with transformer architectures, embeddings, and multimodal learning techniques (Preferred)
Responsibilities
- Build and manage the complete machine learning and generative AI lifecycle, including research, design, experimentation, development, deployment, monitoring, and maintenance.
- Design, develop, and deploy LLM-based and generative AI models to power scalable and intelligent enterprise applications.
- Architect, optimize, and maintain retrieval-augmented generation (RAG), prompt orchestration, and contextual reasoning pipelines to support diverse AI use cases.
- Implement scalable MLOps pipelines for model deployment, performance monitoring, and continuous improvement.
- Conduct fine-tuning, alignment, and evaluation of LLMs and multimodal models to ensure reliability, efficiency, and fairness.
- Collaborate with data science, engineering, and product teams to translate business needs into generative AI-driven solutions.
- Perform benchmarking, evaluation, and optimization of generative models to improve accuracy, latency, and cost efficiency.
Other
- Bachelor's Degree Computer Science, Data Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Required)
- Master's/Advanced Degree Computer Science, Data Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Preferred)
- Experience in the telecom or large-scale enterprise domain (Preferred)
- At least 18 years of age
- Legally authorized to work in the United States
