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Machine Learning Engineer
A mobile internet company
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Machine Learning Engineer

at A mobile internet company

5 - 8 yrs
₹30L - ₹50L / yr (ESOP available)
Bengaluru (Bangalore)
Skills
skill iconMachine Learning (ML)
skill iconDeep Learning
skill iconData Science
Neural networks

Basic Qualifications:

  • Five+ years experience working in a Big Data Software Development role
  • Experience managing and deploying ML models in real world environments
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
  • Experience working with Python, Scala, Spark or other open-source software with data science libraries
  • Experience in advanced math and statistics
  • Excellent familiarity with command line linux environment
  • Able to understand various data structures and common methods in data transformation
  • Experience deploying machine learning models
Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.).
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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Education and Experience

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  • relevant product and industry knowledge
  • solid understanding of digital sales platforms
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Key Competencies and Skills

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  • problem analysis and problem-solving
  • information management
  • team-leadership
  • formal presentation skills
  • persuasiveness
  • adaptability
  • innovation
  • judgment
  • decision-making
  • stress tolerance

Job Type: Full-time

Read more
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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