Machine Learning Engineer

Full-time

Hyderabad/Pune/Bangalore/Chennai/Mumbai

About Us

Zemoso is a unique services organization that specializes in early-stage initiatives and solves tough technology problems. We partner with startups, Fortune 500 companies, and mid-sized organizations on digital transformation, business model transformation, and new product development initiatives. We bring an expert understanding of how a focus on usability works with mature engineering practices to deliver the best outcomes for our customers. Every member of our team showcases accountability and ownership.

As a services organization, our people are our strongest asset. Therefore, we are committed to their career progression. Our Talent Nurture team organizes bootcamps, provides external resources, and hosts tailored workshops. We work on the most cutting-edge solutions, ensuring that our people stay up-to-date with the latest processes, technologies, and tools.

Location

Hyderabad/Pune/Bangalore/Chennai/Mumbai

Responsibilities
  • Play the role of Data Analyst/Machine Learning (ML) Engineer
  • Collection, cleanup, exploration, and visualization of data
  • Perform statistical analysis on data and build ML models
  • Implement Machine Learning (ML) models using some of the popular ML algorithms
  • Use Excel to perform analytics on large amounts of data
  • Understand, model, and build to bring actionable business intelligence out of data that is available in different formats
  • Work with data engineers to design, build, test, and monitor data pipelines for ongoing business operations
Required skills and qualifications
  • Experience: 4+ years
  • Hands-on development experience playing the role of Data Analyst and/or Machine Learning (ML) Engineer
  • Experience in working with excel for data analytics
  • Experience with statistical modelling of large data sets
  • Experience with Machine Learning (ML) models and Machine Learning (ML) algorithms
  • Coding experience in Python
Good to have
  • Experience with wide variety of tools used in Machine Learning (ML)
  • Experience with Deep learning

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