Applied Sciences IC3

The data scientists and developers in the ISV AI team quickly and easily build, train, fine tune, deploy, manage, and consume machine learning models for the benefit of our ISVs.
We are actively seeking a talented Data and Applied Scientist to join our team. As a domain expert you'll play a pivotal role in developing and implementing cutting-edge AI models in client's products and consult them with your technical nuances. Your work will directly contribute to the evolution of Azure ML’s state-of-the-art LLM modeling capabilities, enabling customers of AzureML to use GenAI. As a data and applied scientist you will be repeatedly delivering GenAI and LLM related projects along with a team to drive customer-inspired innovations. You will produce impact by taking building platform of use cases that have repeatable patterns across various industries. For this you'll be fine turning the GenAI models and working with engineering teams to deploy it into production.

Responsibilities

As a Data and Applied Scientist in our team, you will:

• 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, GenAI, and AI research.
• Work with large-scale datasets, preprocess them, and create appropriate data representations.
• Collobrate with partners acorss several industry to implement challenging use cases.
• 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

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Key qualifications for the position are:

• A strong background in machine learning, deep learning, and natural language processing.
• Depth in data science, generative AI and understanding of data engineering.
• Experience with transformer-based models (e.g., BERT, GPT, T5, Llama).
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch).
• Solid understanding of statistics, linear algebra, and probability theory.
• Experience working with structured and unstructured datasets.
• Familiarity with cloud platforms (e.g., Azure) and distributed computing.
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Relevant experience is a must
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