Description

Design and implement architectures for generative AI systems and machine learning workflows in the Azure cloud ecosystem.

This role is on-site.

Responsibilities

• Design generative AI solutions using GANs, VAEs, and Transformer models.
• Implement and manage machine learning lifecycles using ML Flow and Databricks.
• Deploy models within the Azure cloud ecosystem.
• Optimize model performance using Driver H20 hardware.

Required Skills

• 5+ years of experience in AI/ML engineering or architecture.
• Expertise in generative AI techniques including GANs, VAEs, and Transformers.
• Proficiency with PyTorch, TensorFlow, Keras, and scikit-learn.
• Hands-on experience with ChatGPT LLM.
• Experience with Databricks and ML Flow.
• Working knowledge of the Azure cloud ecosystem.
• Familiarity with Driver H20.

Preferred Skills

• Knowledge of Agile and Scrum methodologies.

Key Skills

Education

Any Graduate