onsite
Senior Staff Machine Learning Engineer - Agentic Applications
ML Engineer
Lead the design and deployment of advanced agentic conversational systems, leveraging generative AI and NLP to create intelligent, context-aware user interfaces. Drive research, model training, and production pipelines using Python and deep learning frameworks.
About the role
Key Responsibilities
- Architect and implement end‑to‑end agentic conversational pipelines, integrating large language models with real‑time user interactions.
- Lead research on novel generative AI techniques, optimizing model performance and reducing inference latency.
- Collaborate with cross‑functional teams to define product requirements and translate them into scalable ML solutions.
- Design and maintain robust data pipelines for training, evaluation, and continuous improvement of language models.
- Mentor junior engineers, conduct code reviews, and promote best practices in model development and deployment.
Requirements
- 10+ years of experience in machine learning, with a strong focus on NLP and generative models.
- Proficiency in Python, PyTorch/TensorFlow, and large‑scale distributed training.
- Deep understanding of transformer architectures, fine‑tuning strategies, and deployment on cloud platforms.
- Excellent communication skills and a proven track record of leading technical teams.
Skills
machine learninggenerative ainatural language processingpythondeep learning