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Head of Machine Learning

2 months ago

Bangalore Urban, India Rebel Foods Full time

We are surrounded by the world's leading consumer companies led by technology - Amazon for retail, Airbnb for hospitality, Uber for mobility, Netflix and Spotify for entertainment, etc. Food & Beverage is the only consumer sector where large players are still traditional restaurant companies. At Rebel Foods, we are challenging this status quo as we are building the world's most valuable restaurant company on the internet, superfast.

The opportunity for us is immense due to the exponential growth in the food delivery business worldwide

which has helped us build 'The World's Largest Internet Restaurant Company' in the last few years. Rebel Foods' current presence is India, Indonesia, UAE, UK & KSA with close to 50 brands and 4500+ internet restaurants has been built on The Rebel Operating System.


While for us it is still Day 1, we know we are in the middle of a revolution towards creating never seen before customer-first experiences. We bring you a once-in-a-lifetime opportunity to disrupt the 500-year-old industry with technology at its core.


Job Description - Sr Manager / Lead (Designation open based on experience)

Function: Data Science and Analysis → Data Science / Machine Learning

  • Machine Learning
  • PyTorch
  • Computer Vision
  • NLP
  • Data Visualization


We are looking for someone to lead a team of talented Data Scientists in solving the toughest problems in food tech today. The role would require someone who has led similar teams and created and deployed high-quality data, ML, and AI solutions at scale. This role will involve hands-on work and daily working sessions with the data scientists to create, improve, and debug ML models across multiple business domains. The person should be able to visualize the high-level picture and give direction, while also not being afraid to get their hands dirty and remove roadblocks for team members.


Responsibilities: (Core 8+ years DS / ML experience)

  • Provide strategic direction and oversee the execution of machine learning initiatives to address specific business needs.
  • Lead and manage a team of Machine Learning engineers in designing, developing, and implementing machine learning models.
  • Collaborate with PMs and cross-functional teams to understand requirements and strategize innovative solutions
  • Ensure the development and maintenance of robust, scalable, and reusable code, with proper version control.
  • Operate in a hands-on capacity when necessary.


Requirements:

  • Core 8+ years experience in designing, building, and deploying ML models with a focus on accuracy and scalability.
  • Strong hands-on experience in ML algorithms libraries like Pytorch, Tensorflow/Keras, and Scikit-Learn.
  • Solid understanding of AI/ML techniques related to Regression, Classification, Gradient Boosting, NLP, and Computer Vision.
  • Good knowledge of using Optimization with OR Tools.
  • Strong hands-on skills in Data Analytics, Feature Engineering, and EDA/Visualization using libraries like Pandas, Matplotlib, Plotly, etc.
  • Understanding of Dockerization, and REST APIs.


Good-to-have:

  • Strong stakeholder management skills.
  • Experience in building Time-Series Forecasting Models and Market Mix Models.
  • Interest in improving ML fluency in the larger organization and setting best practices.