Machine Learning Engineer (LLMs) - Remote

Overview

As a Machine Learning Engineer at Brainly, you will play a vital role in revolutionizing educational experiences through AI, focusing on deploying and maintaining machine learning models to enhance the effectiveness of the platform.

In Short

• Work with a team to deploy and evaluate AI models at scale.
• Operationalize machine learning models ensuring scalability and reliability.
• Implement automated workflows for model retraining and performance tracking.
• Design tools and infrastructure to enhance data science efficiency.
• Stay updated with advancements in AI technology.
• 3+ years experience with machine learning model deployment.
• Experience with deep learning models, especially LLMs.
• Strong Python coding skills with a focus on production-level practices.
• Knowledge of cloud computing, preferably AWS.
• Familiarity with DevOps culture and practices.

Requirements

• 3+ years experience with deployment and maintenance of Machine Learning models in production.
• Experience in deploying and maintaining Deep Learning models, particularly Large Language Models (LLMs).
• Strong command of writing production-level code in Python.
• Proven expertise in Cloud Computing (preferably AWS).
• Knowledge of Machine Learning frameworks such as TensorFlow, PyTorch.
• Experience with development of data and machine learning pipelines.
• Knowledge of Linux/Unix system, shell scripting.
• Fluency in English.

Benefits

• Personal development budget of $800 per year.
• Fully covered private health and dental care packages.
• Access to online psychological consultations.
• Support from a personal concierge service.
• Participation in internal communities and charity initiatives.
• Stock options offered.