This is a fully remote job.
Fabley s Vision
Fabley
was founded on the vision that all 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 make 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 prepared to build a solution just to have it be replaced by newly released technology. Prototype Demo Video 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 generation, LLMs, TTS models, or video generation 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 make the
Fabley
vision come to life Host AI models (Stable Diffusion (e.g. CivitAI), LLM, TTS) via Cloud Computing Fine-tune models via 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:
LangChain (or similar), vector databases, Stable Diffusion Compensation
Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. Originally posted on
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AI/ML Operations Engineer (MLOps Engineer) Arbeitgeber: Visa Hunt
Merantix Momentum ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, in einem dynamischen und internationalen Team an der Spitze der KI-Technologie zu arbeiten. Mit flachen Hierarchien, flexiblen Arbeitszeiten und einem jährlichen Budget für Weiterbildung fördern wir Ihre persönliche und berufliche Entwicklung, während Sie gleichzeitig an spannenden Projekten mitwirken, die die Zukunft der Industrie gestalten. Unser modernes Büro auf dem KI-Campus in Berlin und die Möglichkeit, ethische KI-Lösungen zu entwickeln, machen uns zu einem einzigartigen Arbeitsplatz für innovative Köpfe.
