onsite
AI/ML Engineer - T. Mims Corp.
ML Engineer
Hands‑on AI/ML internship focused on building and fine‑tuning domain‑specific large language models, processing large datasets, and deploying production‑grade AI solutions using Python and modern ML frameworks.
About the role
Key Responsibilities
- Collaborate with senior AI engineers to design, train, and fine‑tune large language models for domain‑specific applications.
- Process and curate large-scale datasets, ensuring data quality and compliance with privacy standards.
- Implement model evaluation pipelines, benchmark performance, and iterate on hyper‑parameter tuning.
- Optimize models for inference speed and resource efficiency, preparing them for deployment.
- Deploy trained models to cloud or edge environments, integrating with existing production systems.
Requirements
- Strong programming skills in Python and familiarity with ML libraries such as PyTorch or TensorFlow.
- Basic understanding of large language models, transformer architectures, and fine‑tuning techniques.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) is a plus.
- Excellent problem‑solving skills, strong communication, and a passion for AI research and application.
Skills
pythonmachine learning