Applied Data Research Engineer 2

Job Description

Security at Microsoft is a top priority as we strive to create a safer world for all, reshaping security and empowering users, customers, and developers with end-to-end solutions. Our organization accelerates Microsofts mission to secure digital technology platforms, devices, and clouds in diverse environments, while maintaining the security of our internal estate. We foster a culture of growth mindset, excellence, and innovation to drive life-changing innovations impacting billions of lives globally.Microsofts suite of products under Purviews includes data security, insider risk management, legal eDiscovery, communication compliance, and data lifecycle management. The Data and Applied Sciences Research team pioneers AI and machine learning innovations, focusing on areas such as deep learning, NLP, large language models, graph models, and more, to deliver groundbreaking solutions that anticipate future needs.As a Software and Research Engineer, you will play a crucial role in contributing to the development of robust, scalable software solutions integrating machine learning models, implementing machine learning algorithms, refining generative AI prompts, managing data, collaborating with cross-functional teams, and staying updated on the latest trends in AI and data science. Your responsibilities will include:- **Software Engineering Design And Development:** - Contribute to designing and developing robust, scalable software solutions integrating machine learning models. - Deploy and integrate AI components into production systems.- **Model Development:** - Create and implement machine learning models and algorithms for business problem-solving. - Refine and optimize existing models for enhanced performance and accuracy.- **Text Prompt Engineering:** - Develop, refine, and optimize generative AI prompts for superior accuracy and engagement across various applications.- **Data Management:** - Collect, clean, and organize large datasets from diverse sources. - Analyze and interpret complex data to identify patterns, trends, and insights for informed business decisions.- **Collaboration:** - Work with cross-functional teams to design and implement data-driven solutions, ensuring project success.- **Continuous Learning:** - Stay current with the latest trends in AI, data science, machine learning, prompt engineering, software engineering, and automation. - Actively participate in knowledge-sharing sessions, contributing to team growth and expertise.Qualifications:- Problem-solving and programming skills with large datasets using tools like Python, R, C#, SQL, JavaScript, and/or PowerBI.- Proficiency in statistical/analysis/ML tools, defining and implementing intelligent solutions on data.- Experience with deep learning/LLMs in areas such as graph learning, IR, NLP, computer vision, etc.- 4 years of professional experience in a technical role building and deploying ML solutions at scale.- Bachelors/Masters degree in Computer Science, Data Science, Statistics, Machine Learning, Data Mining, Prompt Engineering, or equivalent.- Excellent cross-group and interpersonal skills with the ability to articulate solutions.Additional details about the company were not provided in the job description. Security at Microsoft is a top priority as we strive to create a safer world for all, reshaping security and empowering users, customers, and developers with end-to-end solutions. Our organization accelerates Microsofts mission to secure digital technology platforms, devices, and clouds in diverse environments, while maintaining the security of our internal estate. We foster a culture of growth mindset, excellence, and innovation to drive life-changing innovations impacting billions of lives globally.Microsofts suite of products under Purviews includes data security, insider risk management, legal eDiscovery, communication compliance, and data lifecycle management. The Data and Applied Sciences Research team pioneers AI and machine learning innovations, focusing on areas such as deep learning, NLP, large language models, graph models, and more, to deliver groundbreaking solutions that anticipate future needs.As a Software and Research Engineer, you will play a crucial role in contributing to the development of robust, scalable software solutions integrating machine learning models, implementing machine learning algorithms, refining generative AI prompts, managing data, collaborating with cross-functional teams, and staying updated on the latest trends in AI and data science. Your responsibilities will include:- **Software Engineering Design And Development:** - Contribute to designing and developing robust, scalable software solutions integrating machine learning models. - Deploy and integrate AI components into production systems.- **Model Development:** - Create and implement machine learning models and algorithms for business problem-solving. - Refine and op

Keyskills :
PythonSQLJavaScriptMachine LearningDeep LearningNLPComputer VisionData ScienceStatisticsPowerBI