Applied Data Research Engineer

2 months ago

Hyderabad, India Microsoft Full time

Overview

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

Microsoft Purview's suite of products includes data security, insider risk management, legal eDiscovery, communication compliance, and data lifecycle management, supported by Copilot for Security innovations. The Data and Applied Sciences Research team leads the way in pioneering AI and machine learning innovations, specializing in deep learning, NLP, large language models (LLMs/GPT), graph models, AutoGPTs, chatbots, etc. Our research is dedicated to pushing the boundaries of technology, anticipating future needs, and seamlessly integrating AI innovations into our product suite. We aim to deliver groundbreaking solutions that not only address current demands but also establish the groundwork for transformative advancements in data and applied sciences.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Skilled in problem solving and programming with large data sets, using big data tools and scripting languages such as: Python, R, C#, SQL, JavaScript, and/or PowerBI. Proficiency in using statistical/analysis/ML tools, defining, and implementing intelligent solutions on data . Experience with deep learning/LLMs applied to areas such as graph learning, IR, NLP, computer vision, etc., is preferred. 2+ years of professional experience in a technical role building and deploying ML solutions at scale for real-world problems Bachelors/Master’s degree with relevant course work toward Computer Science, Data Science, Statistics, Machine Learning, Data Mining, Prompt Engineering and equivalent work experience. Excellent cross-group and interpersonal skills, with the ability to articulate solutions. Additional experience in any of the areas like cyber security, fraud detection, regulations, business processes in enterprises, legal discovery, etc., would be beneficial, but not mandatory.

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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Responsibilities

We are seeking a passionate Software and Research Engineer with a deep interest in cutting-edge AI technologies, a startup mindset, and a willingness to tackle diverse challenges. The ideal candidate should be proficient in a range of tasks, including coding, UX development, model building, prompt engineering, software engineering design, and metric definition - to join our dynamic team. Responsibilities include:

Software Engineering Design and Development :

Contribute to designing robust, scalable software solutions integrating ML models and deploying AI components.

Model Development:

Implement and optimize ML models and algorithms for effective business problem-solving.

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, analyzing complex data 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 contributing to team growth. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect

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