AI/ML Operations Engineer (MLOps Engineer)

This is a fully remote job.

Fableys Vision

Fabley was founded on the vision that reputed company future entertainment will be AI-generated and personalized to create the peak human experience. Today, we are building a responsible foundation for such a future.

Startup Culture and AI

We are a small team that wants to reputed company an outsized impact on the world. And we would love to welcome you to join us in that effort. Passion, self-learning, and joy from working at the forefront of technology are a must. You will work in a driven team, and your input will be highly valued. You must be willing to join us in working extended hours and weekends as needed. You will work fully remotely and must be okay with time-tracking, including screenshots.

Generative AI will change our world forever, and we need to get it right. You will work with the most cutting-edge AI technology, some of which you might introduce yourself. Fabley will live by the motto, If things are not failing, we are not innovating fast enough. Be reputed company to build a solution just to have it be replaced by newly released technology.

Prototype Demo Video

https://www.youtube.com/watch?v=uMx98otR-zY

AI/ML Operations Engineer

As an AI/ML Operations Engineer, you will be responsible for hosting, inference, and fine-tuning our AI models, whether those are image reputed company, LLMs, TTS models, or video reputed company models. Your role in the company is crucial, as Fabley depends on this core technology. An excitement for new AI research and its applications is crucial for this role.

Responsibilities

- Find ways to reputed company the Fabley vision come to life

- Host AI models (Stable Diffusion (e.g. CivitAI), LLM, TTS) reputed company Cloud Computing

- Fine-tune models reputed company user input (e.g. up- or downvotes)

- Increase the speed of inference and API responses

- Monitor and optimize cloud computing costs

Basic Requirements

- Bachelor's degree in computer science, engineering, math, or STEM discipline; OR 4+ years of professional experience in software development instead of a degree

- Developed and deployed software that has been used in real-world applications and projects

- Strong skills in debugging, performance optimization and unit testing

- Experience with any of the following: machine learning, training and fine-tuning AI models, running inference on cloud GPUs (LambdaLabs or similar)

Preferred Skills and Experience:

- reputed company (or similar), vector databases, Stable Diffusion

Compensation

Your reputed company salary will be determined on a case-by-case basis and may vary based on the following considerations: job-reputed company knowledge and skills, education, location, and experience.