AI Engineer - Machine Learning

Responsibilities

• Create and uphold efficient, scalable, and distributed training systems—including data preprocessing, training orchestration, and model assessment—for training large-scale AI models.
• Enhance the efficiency of training procedures to improve performance and use of resources, while maintaining scalability and dependability.
• Collaborate with researchers to create training and evaluation pipelines for state-of-the-art algorithms.
• Develop and design benchmarks for evaluating ML models.
• Perform training and and fine-tuning of foundation models for robotic applications .
• Monitor and analyze pipelines, identifying bottlenecks and proposing solutions to improve efficiency and performance.

Ensure the robustness and reliability of the training infrastructure, including automated testing and continuous integration