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Mphasis

Machine Learning Engineer

Job · Full-timeHybridPune, Maharashtra0–3 years1 openingImmediate / Rolling

About this role

Build your career at Mphasis in Pune 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 As a Machine…

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 Pune
  • 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 Mphasis'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 Mphasis

About Mphasis Mphasis is an information-technology services company specialising in cloud and cognitive services, with major centres in Bengaluru and Pune. Products & Services Mphasis works within the IT Services space, serving its clients and customers with dedicated teams across key business…
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