Machine Learning Engineer for Food Industry

4 weeks ago


India Rebel Foods Full time

About Us

Rebel Foods is a revolutionary company that's disrupting the 500-year-old restaurant industry by leveraging technology. As one of the world's largest internet restaurant companies, we have an immense opportunity to create never-before-seen customer-first experiences.

The role of Data Scientist-II in our Data Science & Analytics (DSA) Team involves working on some of the toughest and most interesting problems in the food delivery business. Our work spans across areas such as inventory forecasting, order predictions, marketing spend optimization, delivery time prediction, personalization, customer insighting, product recommendations, supply chain planning, capacity optimization, and more.

We are looking for someone who is excited to work in a fast-growing industry with a spirit of ownership & collaboration. The ideal candidate will be able to understand business problems, design relevant ML solutions, build & deploy new models, maintain & enhance existing models, and automate performance measurement.

What You'll Own

  • You will contribute to building and maintaining all ML models, rule-based intelligence, automated reports, and dashboards used by the organization.
  • You will drive business impact via ML and Data Science and grow adoption of these areas at Rebel.
  • You will enable the organization to better understand and effectively use ML and DS.

Requirements

  • You should have a strong working knowledge of a variety of machine learning techniques, including Regression, Classification, Clustering, Decision Tree, Probability Networks, Neural Networks, Bayesian models, etc.
  • You should be proficient in Python, SQL, and machine learning libraries such as TensorFlow, scikit-learn.
  • You should have experience in working with varied data types and databases.
  • You should have excellent problem-solving skills with a demonstrated ability to think analytically and strategically.

Estimated Salary: $120,000 - $180,000 per year



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