Microsoft Applied Sciences IC3 

India, Karnataka, Bengaluru 

786323983

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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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.