Senior ML Engineer
2 tygodni temu
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.
Essential functions
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 systemsQualifications
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. BS/BA or equivalent degree in computer science or similar (preferred).We offer
Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped officeAbout us
Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernisation. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe. To learn more about Grid Dynamics, please visit Follow us on Facebook, Twitter, and LinkedIn.
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