✨ About The Role
- The Senior Machine Learning Engineer will design, develop, and optimize large language models for various natural language processing tasks.
- Responsibilities include implementing and maintaining training pipelines and optimizing for performance and efficiency.
- The role involves conducting model evaluations and performance analysis to improve model accuracy and reduce biases.
- Staying updated with the latest research in natural language processing and large language models is a key part of the job.
- The engineer will contribute to the development of best practices and ethical AI principles for responsible LLM development.
âš¡ Requirements
- The ideal candidate will have over 5 years of experience in machine learning engineering, particularly in natural language processing and deep learning.
- A strong proficiency in Python programming and familiarity with deep learning frameworks such as TensorFlow and PyTorch is essential.
- The candidate should have expertise in distributed training frameworks and efficient utilization of hardware resources.
- Excellent communication skills are necessary to collaborate effectively with cross-functional teams.
- A passion for developing responsible AI solutions that positively impact society is crucial for success in this role.