We are looking for ML Engineer to join Artificial Intelligence and Machine Learning team in the HEIS (Health and Essential Industry Solutions) domain, which focuses on applying cutting-edge machine learning techniques to revolutionize health and essential industry sectors. As a Machine Learning Engineer, you will collaborate with talented researchers and engineers to develop innovative solutions that enhance the product impact in healthcare, essential services, and related industries.
responsibilities :
Build machine learning tooling to facilitate various phases of the ML lifecycle from model training, data ETL, end-to-end model evaluation and deployment
Work with technical and non-technical stakeholders to build solutions to align LLMs for specific use cases.
Deliver reusable and easy-to-use tooling to integrate with existing data and machine learning systems
requirements-expected :
Strong understanding of machine learning principles, especially in the context of LLMs.
5+ years of proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch
Skills in Java/scala (preferred)
Experience building scalable deep learning systems
Experience with large scale data infrastructure
Strong verbal and written communications skills with the ability to work effectively across internal and external organizations and virtual teams.
