Senior Data Scientist
1 week ago
Overview
#ExDIndiaODSPJobs
Join the OneDrive-SharePoint (ODSP) team, a vital part of the Office M365 ecosystem, based in Hyderabad. This role offers a unique opportunity to be part of a multi-billion-dollar organization that handles 200M MAU and exabytes of customer data in the cloud. As a Senior Data Scientist, you will address technically challenging AI problems in a full-stack cloud environment and contribute significantly to the roadmap and vision of both your team and partner teams.
SharePoint is instrumental in aiding millions in collaborative efforts and enabling major companies worldwide to tackle mission-critical problems. We focus on developing global scale services to store, secure, and manage highly sensitive data.
You'll be at the forefront of our next-generation AI innovations aimed at delivering exceptional performance, scalability, reliability, and security through cloud-based distributed systems.
Qualifications
Bachelor's, Master's, or PhD in Computer Science or equivalent. Over 8+ years of experience in the data science field, proficient in languages such as Python, R, and SQL. Strong experience in agile teams with a customer-focused approach. Excellent communication and cross-group collaboration skills. Experience in Azure or other cloud and distributed systems is highly valued. In-depth knowledge of Natural Language Processing (NLP) and Natural Language Understanding (NLU). Up-to-date with the advancements in large language models. Demonstrated ability to think and operate as a product-oriented data scientist. Familiarity with MLOps/LLMops for deploying ML models/large language models to production. Proven ability to test and evaluate model performance.Responsibilities
As a Senior Data Scientist, you will play a pivotal role in shaping the future of our products. Your responsibilities include:
Developing and refining NLP and NLU systems, staying abreast of the latest advancements in large language models. Thinking strategically like a product-oriented data scientist, understanding the broader business context and customer needs. Leading initiatives in deploying ML models/large language models to production, with an emphasis on MLOps/LLMops. Conducting thorough testing and evaluation of model performance to ensure efficiency and accuracy. Overseeing the entire lifecycle of models from creation to deployment, ensuring robustness and scalability. Collaborating closely with product development and engineering teams to ensure high-quality design and architecture. Mentoring and supporting the growth of colleagues in the field of data science, fostering a culture of learning and innovation. Actively participating in creating and executing quality plans, test strategies, and processes. Being self-driven, curious, proactive, and result-oriented. 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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