Job Description:
As a ML engineer at L2F, you will be part of a talented team that is
developing Giotto Cloud, an online platform that empowers subject matter experts to create and deploy machine learning models without writing a single line of code.
In this role, you will support the implementation and deployment of state-of-the-art machine learning algorithms that enable our users to create smart data products in domains such as computer vision, natural language processing, time series forecasting, and more.
We are looking for engineers who are passionate about democratizing artificial
intelligence and working in a dynamic, startup environment. The ideal candidate will
have industry experience building machine learning systems and possess a deep
knowledge of distributed infrastructures.
Requirements:
- 5+ years of professional machine learning experience
- Proficient in Python. Experience with wrapping C/C++ code for Python is a plus
- Knwoledge developing and debugging in PyTorch. Experience with the fast.ai and
Hugging Face transformers libraries for deep learning is a plus.
- Proficiency with training and running deep learning models on cloud GPUs
- Proven ability to to write production-grade code and deploy machine learning
applications via standard tools such as Docker, Kubernetes, and fastAPI/Flask.
- At ease writing specifications, developer documentation and good user
documentation.
- Fluent with continuous integration, Git and common developer tools.
- Skilled in testing architectures (unit tests, integration tests, etc.).
- Experience in leading small teams
About the recuiterMember since Nov 11, 2022 Lionel Gough
from Michoacan, Mexico