Description

You will design, develop, and deploy end-to-end AI architecture solutions and intelligent software interfaces.

Responsibilities

• Design and implement end-to-end AI architecture, including fine-tuning NLP and Computer Vision models for text generation, QA, and object detection.
• Develop machine learning models using PyTorch, TensorFlow, Sklearn, and HuggingFace.
• Build and manage Google Cloud Platform instances for training and deploying models via REST APIs.
• Collect, clean, and analyze datasets using Python, SQL, and REST APIs.
• Automate model training pipelines using Linux shell scripts and evaluate model performance.

Required Skills

• 5+ years of experience in AI and machine learning development.
• Proficiency in Python and SQL for data collection, cleaning, and analysis.
• Hands-on experience with PyTorch, TensorFlow, Sklearn, and HuggingFace.
• Strong background in NLP and Computer Vision tasks.
• Ability to build and test REST API endpoints using Python and JSON.
• Experience managing Google Cloud Platform instances for model deployment.
• Skill in data visualization using Pandas, Matplotlib, and Seaborn.
• Competency in Linux shell scripting for automation.

Preferred Skills

• Experience in experimental research involving media arts or music software.
• Background in designing software for gaming or arts.

Key Skills

Education

Any Graduate