Description

Design and optimize machine learning infrastructure to ensure efficient resource utilization and model performance.

This role is on-site.

Responsibilities

• Optimize multiple ML models and LLMs for maximum efficiency and performance.
• Manage GPU resource usage and compute allocation.
• Develop and tune parameters for various ML models and Large Language Models.
• Build and maintain end-to-end data pipelines for ML workflows.
• Implement prompt engineering techniques to improve LLM outputs.

Required Skills

• 5+ years of experience in AI/ML development and optimization.
• Extensive hands-on experience with PyTorch and TensorFlow.
• Proven expertise in working with Large Language Models (LLMs) and GenAI.
• Practical experience using Jupyter Lab for model development.
• Working knowledge of GCP services and Vertex AI.
• Ability to determine optimal framework usage based on specific architectural scenarios.
• Experience in creating end-to-end ML data pipelines.

Preferred Skills

• Any Graduate degree in a relevant technical field.

Key Skills

Education

Any Gradute