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.