Senior Machine Learning Engineer, NLU & Agentic AI

View full description

Requirements:

• Proficiency in building and deploying NLU and agentic AI systems.
• Expertise in Python and libraries such as TensorFlow, PyTorch, or HuggingFace.
• Ability to develop and fine-tune large language models (LLMs) for production.
• Strong understanding of data preprocessing, model evaluation, and optimization techniques.
• Experience with deploying AI models in production environments using cloud services (AWS, GCP, Azure).
• Demonstrated success in solving real-world AI/ML challenges with measurable outcomes.

Responsibilities:

• Design and deploy scalable NLU models and conversational AI systems.
• Develop agentic AI solutions for decision-making workflows.
• Optimize ML models for accuracy, speed, and scalability.
• Collaborate with the product and engineering teams to integrate AI solutions.
• Stay updated on AI trends and incorporate best practices.