Description

You will build and deploy AI/ML products and applications using large language models and neural networks.

This role is hybrid.

Responsibilities

• Build AI/ML applications using Flask or FastAPI frameworks.
• Implement RAG and supervised tuning techniques to optimize model performance.
• Develop and maintain machine learning models using large-scale frameworks.
• Design and implement solutions within distributed systems.
• Deploy models and applications using GCP or other public cloud providers.

Required Skills

• 6+ years of professional experience in AI/ML development.
• Hands-on experience with LLMs including Gemini, OpenAI, and Claude.
• Practical knowledge of open-source Large Language Models.
• Proficiency with PyTorch, TensorFlow, or Caffe2.
• Experience with Spark ML or related large-scale machine learning frameworks.
• Experience building APIs with Flask or FastAPI.
• Strong understanding of distributed systems.
• Development experience with GCP or other public cloud platforms.
• Degree in any graduate field.

Preferred Skills

• Deep understanding of RAG architectures and supervised tuning.

Key Skills

Education

Any Gradute