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Senior Generative AI Engineer - UST
AI Engineer
Lead the design and deployment of cutting‑edge generative AI solutions, leveraging Python, PyTorch, and AWS to build scalable, high‑performance models that transform business processes and user experiences.
About the role
Key Responsibilities
- Architect, develop, and deploy generative AI models (LLMs, diffusion models) using Python and PyTorch/TensorFlow.
- Design and implement prompt‑engineering strategies to optimize model outputs for diverse business scenarios.
- Fine‑tune and evaluate large language models on proprietary datasets, ensuring performance, safety, and compliance.
- Build end‑to‑end data pipelines and model serving infrastructure on AWS (SageMaker, Lambda, ECS).
- Collaborate with cross‑functional teams to translate business requirements into AI solutions and provide technical guidance.
Requirements
- 5+ years of experience in AI/ML engineering with a focus on generative models.
- Proficiency in Python, PyTorch/TensorFlow, and cloud deployment (AWS preferred).
- Strong background in prompt engineering, LLM fine‑tuning, and evaluation metrics.
- Experience with data pipeline construction, version control, and CI/CD for ML workflows.
- Excellent communication skills and ability to mentor junior engineers.
Skills
generative aipythonpytorchaws