AI Machine Learning Engineer
Remote
Full Time
#Corporate
#Technology
#Python
#TensorFlow
#PyTorch
#scikit learn
#NLP
#AWS
#EC2
#S3
#Docker
#Machine Learning
Are you ready to shape the future of global communication? At Welocalize, we act as a vital transformation partner for brands looking to connect with international audiences. We combine human expertise with cutting-edge technology to handle multilingual content across more than 250 languages. By joining our team, you will help us push the boundaries of NLP-enabled machine learning, creating solutions that bridge the gap between human intelligence and automated data transformation.
Role at a glance
We are looking for a Mid-Level AI Machine Learning Engineer to join our team on a full-time basis. This is a remote position, meaning you can contribute to our global mission from anywhere. You will play a key role in designing and deploying sophisticated models that power our localization and business workflows.
Your impact
- Design and develop advanced machine learning models, including work on LLM finetuning, machine translation, and automated quality assurance.
- Take full ownership of projects from the initial concept and definition phase all the way through to final deployment.
- Implement and optimize production-grade models using Python, TensorFlow, and PyTorch while leveraging cloud infrastructure like AWS.
What you'll need
- At least 3 years of professional experience as a Machine Learning Engineer or in a closely related technical role.
- A solid foundation in computer science, mathematics, or data science, typically demonstrated by a Bachelor's or Master's degree.
- High proficiency in Python and hands-on experience with frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Strong working knowledge of NLP techniques and tools.
- Practical experience with AWS services like EC2 and S3, as well as containerization using Docker.
- Excellent communication skills in English, with the ability to explain complex technical concepts to non-technical team members.
Perks and compensation
- The flexibility of a remote work environment.
- The opportunity to work with a global network of experts in a fast-paced, innovative industry.
Welocalize
15 views
Company Size
1001-5000
Markets
