onsite
Senior Machine Learning Engineer, Agentic Applications
ML Engineer
Lead the design and deployment of agentic AI systems using large language models. Build scalable pipelines, fine‑tune generative models, and integrate advanced NLP techniques to create intelligent, autonomous applications.
About the role
Key Responsibilities
- Design, develop, and optimize large language model pipelines for agentic AI applications.
- Fine‑tune and evaluate generative AI models (e.g., GPT, T5) for specific domain tasks.
- Implement robust NLP preprocessing, tokenization, and inference services using Python and PyTorch.
- Collaborate with product and research teams to translate cutting‑edge research into production‑ready features.
- Monitor model performance, conduct error analysis, and iterate on model improvements.
Requirements
- 5+ years of professional experience in machine learning, with a focus on large language models and generative AI.
- Strong proficiency in Python and deep‑learning frameworks such as PyTorch.
- Hands‑on experience with NLP techniques, model fine‑tuning, and deployment at scale.
- Proven ability to solve complex problems, write clean code, and work in cross‑functional teams.
- Experience with cloud platforms (e.g., AWS, GCP) and containerization is a plus.
Skills
pythonmachine learninggenerative ainatural language processingpytorch