onsite
Generative AI Engineer - Zensar Technologies
AI Engineer
Design and implement generative AI solutions using Python, machine learning techniques, and large language models, with a focus on prompt engineering and end‑to‑end model deployment.
About the role
Key Responsibilities
- Develop, fine‑tune, and deploy large language models (LLMs) for generative AI applications.
- Design and implement prompt engineering strategies to improve model output quality and relevance.
- Build scalable Python pipelines for data preprocessing, model training, and inference.
- Collaborate with cross‑functional teams to integrate AI capabilities into products and services.
- Monitor model performance, conduct error analysis, and iterate on improvements.
Requirements
- Strong proficiency in Python and experience with machine‑learning frameworks (e.g., PyTorch, TensorFlow).
- Hands‑on experience with LLMs and generative AI technologies.
- Demonstrated expertise in prompt engineering and model optimization.
- Solid understanding of data pipelines, model evaluation, and deployment best practices.
- Ability to work independently and communicate technical concepts clearly.
Skills
pythonmachine learninggenerative ai