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Microsoft

Machine Learning Engineer

Job · Full-timeIn OfficeNoida, Uttar Pradesh0–3 years5 openingsImmediate / Rolling

About this role

Build your career at Microsoft in Noida as a Machine Learning Engineer. This full-time position is designed for candidates ready to building, deploying and scaling machine-learning systems, with real responsibility from day one and support to keep growing your skills. About the Role This Machine…

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Skills you'll use

PythonMachine LearningDeep LearningPyTorch/TensorFlowMLOpsSQLCloudModel DeploymentData PipelinesProblem Solving

What you'll do

  • Build and productionise ML models
  • Design training and inference pipelines
  • Monitor and improve model performance
  • Collaborate with data scientists and engineers
  • Apply MLOps best practices
  • Document work clearly and act on feedback

Who can apply

  • Early-career professionals and strong freshers interested in a Machine Learning Engineer role
  • Candidates with foundations in Python, Machine Learning, Deep Learning, PyTorch/TensorFlow
  • Applicants based in or willing to relocate to Noida
  • Graduates seeking a full-time Data Science career
  • Motivated individuals who take ownership and learn fast

Perks & benefits

Competitive salary and performance incentivesHealth insurance and employee benefitsStructured onboarding and mentorshipLearning & certification supportClear career growth and internal mobilityModern tools and a collaborative culture

Interview & selection process

3 rounds — typical selection flow for this role:

  1. 1Resume & profile screening by Microsoft's recruitment team.
  2. 2Practical / case round relevant to the Machine Learning Engineer role.
  3. 3Final discussion with the hiring manager on your approach, learnings and fit.

About Microsoft

About Microsoft Microsoft is a global technology company that develops software, cloud (Azure), devices and AI. Its India Development Center in Hyderabad and Bengaluru is one of its largest R&D hubs outside the United States. Products & Services Microsoft works within the Technology space…
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