Senior Machine Learning Engineer (LLMs) - Remote

Overview

As a Senior Machine Learning Engineer at Brainly, you will contribute to revolutionizing learning through AI, helping millions of students worldwide gain confidence in their educational journey.

In Short

• Join the Benchmarking of AI Models (BEAM) Team to ensure high-quality performance of AI solutions.
• Design and implement robust evaluation pipelines for AI solutions.
• Responsible for the deployment and maintenance of AI models.
• Work with Senior ML engineers and Data Scientists to ensure seamless AI model deployments.
• Implement automated workflows for model retraining and performance tracking.
• Stay updated with advancements in AI technology.
• Collaborate on the development of tools and infrastructure for Data Scientists.
• Transform ML artifacts into production systems.
• Support the optimization of research code for scalability.
• Participate in continuous learning and innovation in AI.

Requirements

• 5+ years of experience with deployment and maintenance of Machine Learning models.
• Experience with deploying Deep Learning models, especially LLMs.
• Strong production-level coding skills in Python.
• Familiarity with the PyData stack and frontend frameworks.
• Expertise in Cloud Computing, preferably AWS.
• Experience with ML frameworks like Tensorflow and PyTorch.
• Track record of developing data and ML pipelines.
• Knowledge of Linux/Unix and shell scripting.
• Understanding of parallel computing techniques.
• Fluency in English.

Benefits

• $800 per year for personal development and unlimited access to online learning platforms.
• Full coverage of private health and dental care for you and your family.
• Access to online psychological consultations.
• Support from a personal concierge for daily tasks.
• Opportunities to join internal communities and contribute to initiatives.
• Stock options available.