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Microsoft Senior Applied Data Scientist 
India, Telangana, Hyderabad 
319833813

10.09.2024
Qualifications
  • BS or M.S in Computer Science or Math
  • 5+ Years of experience in deep learning (extensive work on NLP is a plus)
  • 7+ Years of industry experience
  • ML fundamentals:Datamining, wrangling, processing, visualization, model training, analysis.
  • Expertise in Designing and hands on with Coding
  • Software fundamentals: code + integrate models into production services.
  • Strong knowledge and skills in machine learning software development and architectures for machine learning (with focus on deep learning).
  • Research or Industry experience with one or more of following areas Natural Language Processing (NLP), Document Understanding, Information Retrieval, Natural Language Understanding.
  • Experience in building, deploying, and improving large scale Machine Learning models and algorithms in real-world products.
  • Proficiency in Python/C++ and deep learning frameworks e.g. Pytorch, Tensorflow.
  • Ability to synthesize the research literature, compare/contrast/critique and combine ideas into creating new ML models.
  • Published work in top-tier conferences & journals is a plus
Responsibilities
  • Build and refine machine learning models to solve NLP tasks and productizing the solutions at scale.
  • Staying abreast with the SOTA advancements and use them to formulate novel soutions.
  • Advancing the state of the art of NLP technologies for real world scenarios.
  • Developing novel machine learning anddatamining algorithms
  • Contribute ideas and techniques to shape decisions and improve product quality metrics.
  • Participate in design, implementation and execution with a team of engineers, appliedscientists and product managers.
  • Collaborate with Program Managers, Architects and stakeholders for workforce planning, demand planning and end-to-end solution design
  • Build, mentor, and lead a diverse high-performance team ofDataScientists
  • Create clarity, generate energy and deliver the impact
  • Ensuring compliance with Security, Privacy, GDPR etc. and performance criteria
  • Usedataand insights from customer and production to contribute to some technical design and implementation decisions