AI/ML Operations Engineer (MLOps Engineer)

Stack

Responsibilities

• ▹Find ways to make Fabley's vision come to life
• ▹Host AI models (Stable Diffusion, LLM, TTS) via cloud computing
• ▹Fine-tune models based on user input (e.g. up- or downvotes)
• ▹Increase the speed of inference and API responses
• ▹Monitor and optimize cloud computing costs

Requirements

• ▹Bachelor's degree in computer science, engineering, math, or a STEM discipline, or 4+ years of professional software development experience in lieu of a degree
• ▹Experience developing and deploying software used in real-world applications and projects
• ▹Strong skills in debugging, performance optimization, and unit testing
• ▹Experience with machine learning, training and fine-tuning AI models, or running inference on cloud GPUs (e.g. LambdaLabs or similar)

Nice to have

• ▹LangChain or similar
• ▹Vector databases
• ▹Stable Diffusion

Soft skills

About the company

Fabley was founded on the vision that all future entertainment will be AI-generated and personalized; a small team aiming to make an outsized impact on the world.