Responsibilities:

• Develop and update software to implement new features, correct errors and improve functionality. Programming / Scripting and documentation.

• Design UI/UX of an intelligent software

• Consults with management to promote & develop technical enhancements

• Managing cloud instances for API deployment

• Manages large, complex, long-term projects or projects that are critical priority for the user community; Leads initiatives & special projects

• Personal research projects in AI, music software and design.

• Ideating and building new products and experiences on the web

Requirements

• Collecting, cleaning data to create datasets using Python, REST APIs and SQL.

• Creating notebooks to analyze and visualize data using Pandas, Matplotlib, Seaborn.

• Collecting requirements and designing end-to-end AI architecture solutions for tasks.

• Fine-tuning Natural Language Processing models, Computer Vision models for multiple tasks: text generation, completion, Question-Answering skills, object detection, character recognition etc.

• Code intelligent bots to answer natural language questions.

• Defining problems and automating Artificial Intelligence solutions to real-world scenarios.

• Prototyping semi-intelligent systems and interfaces using JavaScript, Framer and Python.

• Writing code to develop machine learning models using Sklearn, PyTorch, TensorFlow, HuggingFace

• Evaluating model performances and presenting the results to clients

• Writing documentation for running models, recreating results, and fine-tuning AI models for a specific task.

• Automating Python scripts for training models using shell script in Linux

• Interacting with and interviewing clients to collect requirements.

• Researching UI/UX problems with state of-the-art machine learning and AI technologies.

• Creating and managing Google Cloud Platform instances for training and deploying machine learning models in the cloud.

• Setting up REST API from Google Cloud Platform to receive data and respond with payloads.

• Serving model predictions to end-products using REST APIs, JSON

• Testing REST API endpoints with Python scripts

• Experimental research in AI, machine learning, media arts and music.

• Designing and developing software for gaming, arts and music

• Research and document findings in design, UI/UX and machine learning from academia, professional scientific industry