Applied AI Scientist at Microsoft

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

0.0

Posted On

09 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Systems, Data Ingestion, Model Training, Model Evaluation, Python, C#, Java, GenAI Frameworks, LLMs, Prompt Engineering, Retrieval-Augmented Generation, Model Fine-Tuning, Collaboration, Performance Monitoring, Cloud Platforms, Software Development

Industry

Software Development

Description

Overview The Data Security team’s mission is to building cloud solutions to support premium features that provide security, compliance, data governance, data loss prevention, and more, in a fully integrated manner from services to clients of Office 365 as well as Windows. We create global scale services to transport, store, secure and manage some of the most sensitive data on the planet and build our services on top of Azure, Exchange and other cloud platforms, and our experiences in Office applications like Outlook. The IDC arm of the team is expanding substantially and is looking for talented and highly motivated engineers. This is an excellent opportunity for anyone who has, or wants to build, expertise in cloud distributed systems, or in security and compliance, or both. Team will be building cloud solutions meeting scales that few companies in the industry are required to support, that leverage state of the art technologies to deliver holistic protection to a planet scale user base. Office 365 is the industry leader in hosted productivity suites and boasts to be the fastest growing business at Microsoft with more than 100 million seats hosted in multiple data centers across the globe. The SCM Engineering team provides leadership, direction and accountability for application architecture, Cloud design, infrastructures development and end to end implementation. You will independently determine and develop architectural approaches and Infrastructure solutions, conduct business reviews, and operate our production services. Strong collaboration skills will be required to work closely with other engineering teams to ensure services/systems are highly stable and performant and meet the expectations of internal and external customers and users. Responsibilities Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments. Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy. Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning. Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance. Collaborate with cross-functional teams to translate business requirements into technical solutions. Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement. Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks. Optimize models for latency, throughput, and accuracy in real-world scenarios. Work closely with data scientists, product managers, and other engineers to drive AI initiatives. Stay current with the latest advancements in GenAI, LLMs, and AI frameworks. Prototype and experiment with emerging technologies to assess feasibility and impact. Qualifications Bachelor's Degree in Computer Science, Data Science or related technical field Should have total 1 years in Data Science experience 1-3 years technical engineering experience with coding in languages including C#, Python and Pytorch 1-3 years of experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.) 1-3 years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation. Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#) This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Design, develop, and deploy end-to-end AI/ML systems, including data ingestion and model training. Collaborate with cross-functional teams to translate business requirements into technical solutions and maintain large-scale AI applications.