Principal Machine Learning Engineer
3 weeks ago
Overview
Within AI Platform, the Azure ML team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning models.
Qualifications
Required Qualifications:
Total 10+ years of relevant experience Depth in Data Science, Generative AI and Engineering Background in machine learning, deep learning, and natural language processing. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade quality product Experience with distributed systems design and implementation Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD) Experience with transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion) Good understanding of statistics, linear algebra, and probability theory. Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing Excellent problem-solving skills and the ability to work independently and collaborativelyJoin Us?
Be part of a dynamic team shaping the future of AI and language models Work on high-impact projects with global reach Collaborate with leading experts in the field Enjoy a flexible and inclusive work environmentIf you're passionate about AI, love tackling complex challenges, and want to contribute to the next generation of language models, we'd love to hear from you Apply now and let's build the future together.
#IDCAIPlatformHiring
Responsibilities
As a (Principal) Machine Learning Engineer in our team, you will:
Collaborate with researchers and data scientists to design sophisticated machine learning models Implement and fine-tune neural network architectures, including transformer-based models Optimize model performance, scalability, and efficiency Conduct experiments to evaluate model performance, robustness, and generalization Explore novel techniques and approaches to enhance model capabilities. Stay up-to-date with the latest advancements in NLP, deep learning, and AI research Work with large-scale datasets, preprocess them, and create appropriate data representations Select relevant features and ensure data quality for training and evaluation Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect-
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