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 solutions, 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 cloud instances on Google Cloud Platform for training and deploying models via REST APIs.
• Collect, clean, and analyze datasets using Python, SQL, and REST APIs.
• Prototype semi-intelligent systems and interfaces using JavaScript and Python.
• Automate model training pipelines using Linux shell scripts.
• Evaluate model performance and document processes for recreating results and fine-tuning tasks.

Required Skills

• 5+ years of experience in AI and machine learning development.
• Proficiency in Python and SQL for data collection and cleaning.
• Experience with PyTorch, TensorFlow, Sklearn, and HuggingFace.
• Hands-on experience with 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.
• Knowledge of UI/UX design principles for intelligent software.
• 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