Description

You will design, develop, and deploy generative models for operational applications, focusing on production-grade RAG frameworks and model optimization.

This role is on-site.

Responsibilities

• Design and deploy generative models including GPT, GANs, and VAEs.
• Customize or build new Retrieval Augmented Generation (RAG) frameworks.
• Collaborate with cross-functional teams to translate business requirements into AI solutions.
• Optimize and fine-tune models for production performance and scalability.
• Conduct research to advance generative modeling techniques and stay current with industry advancements.

Required Skills

• 8+ years of experience in Machine Learning and Deep Learning, focused on generative models.
• Proven track record building and deploying generative models in production.
• Proficiency in Python.
• Working knowledge of TensorFlow and PyTorch.
• Experience with Natural Language Processing (NLP) and Generative Modeling.
• Familiarity with RAG architectures.

Preferred Skills

• Bachelor's or Master's degree in Computer Science, Data Science, or Machine Learning.

Key Skills

Education

Any Graduate