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Microsoft Data Scientist 
India, Telangana, Hyderabad 
120670115

11.12.2024

Are you a data scientist, andin their disciplines and working together as one to bring the best practices of engineering and architecture to

and trustworthy AI solutions.

Data Scientist, and implementation of data science solutions in enterprises

Required/Minimum Qualifications
  • Minimum of_4 years of experience as a data scientist implementing data science solution, with experience in implementing projects in one or more areas amongst: Computer Vision, LLMs, Audio/Voice data processing, and Reinforcement Learning.
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,Engineeringor related field AND data-science experience (e.g., managing structured and unstructured data, applying statisticaltechniquesand reporting results)
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,Engineeringor related field data-science experience (e.g., managing structured and unstructured data, applying statisticaltechniquesand reporting results) or consulting experience
  • OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,Engineeringor related field
  • OR equivalent experience.

the following key knowledge,and experience:

  • Hands-on software engineering experience (e.g.Python, C++)
  • Proven skills and experience in a data science role
  • Familiarity with building and deploying largescale AI solutions into production within a cloud environment.Has experience in working withMLOps,LLMOpsand frameworks likeLangChain, Semantic Kernel and Prompt Flow.
Responsibilities

Leverages understanding of data science and business to examine a project and consider factors that can influence final outcomes within a technical area. Evaluates project plan for resources, risks, contingencies, requirements, assumptions, and constraints. Documents key business

Modeling and Statistical Analysis

Applies machine learning knowledge tothe best approach for projectindividual algorithms and modeling techniques. Selects theappropriate approachto prepare data, train,

Learns and understands the current state of the industry, including knowledge of tools, techniques, strategies, and processes that can beto improve process efficiency and performance. Maintains knowledge of current trends within the discipline.internal research conferences andin on-training, when. Actively contributes to the body of thought leadership and intellectual property (IP) best practices.


Coding and Debugging

code and improve system efficiency, reliability, and maintainability. DevelopsCI/CD, Docker, Delta Lake,, A, and REST API consumption/development.

senior engineers for best practices inand internal stakeholders in building trustworthy AI solutions.

Embody our