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.

　　Responsibilities

　　As a (Senior) 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

　　Collaborate with cross-functional teams, including researchers, software engineers, and product managers

　　Communicate technical findings and insights effectively

　　Deploy trained models in production environments

　　Monitor model performance, troubleshoot issues, and iterate on improvements

　　Qualifications

　　Required Qualification:

　　Total 8+ 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 collaboratively

　　Preferred Qualifications:

　　Preferred training & fine-tuning experience on large data#IDCAIPlatformHiring

　　Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .