Address
Form of work 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. #aiplatform
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.
- 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
- Depth in Data Science, Generative AI and Engineering
- A strong background in Machine Learning, deep learning, and natural language processing.
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch).
- Experience with transformer-based models (e.g., BERT, GPT, T5, Llama).
- Solid 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.
#aiplatform, #machinelearning #openai #finetuning #training #llm #multimodal #transformers #chatgpt
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
