ML Scientist (Full Time, Remote)

Remote - India

Applications have closed

Hike

Hike team is building the Rush Gaming Universe.

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Description

At Hike, we’re building the Rush Gaming Universe 🎮 📲 💰

To know more, check out work.hike.in


Skills & experience we're looking for 👨‍💻

  • You have a Bachelor's or higher degree in computer science, statistics, engineering or applied mathematics with 2+ years of relevant industry experience
  • Experience in Machine Learning, Deep Learning and Engineering aspects of ML model deployment
  • Proficiency in data analysis, mathematics/probability, and statistical analysis
  • Most importantly, an inquisitive mind, an ability for self-learning and abstraction along with a risk appetite for experimentation and failure
  • You have strong programming experience in at least one of the programming languages such as - Python, C/C++, Java
  • You have exceptional problem-solving skills and strong business/ product thinking


You will

  • Create intelligent and highly relevant experiences in our products that wow our users
  • Research and come up with innovative statistical/ML models to address the problem statement
  • Analyse data for trends and patterns, and interpret data with a clear objective in mind
  • Develop, deploy and maintain ML models in production
  • Work closely with the Engineering team to take the projects to production
  • Identify and integrate new datasets that can be leveraged through our product capabilities
  • Keep updated with emerging technologies in AI/ML
  • Partner with product managers to make data-driven decisions and help solve the right problems for our users


💰 Benefits → We have tremendous benefits & perks. Check out work.hike.in to know more

👾 Discord → Diving into our Discord is a great way to get to know us better (& maybe work on a few things with us)

Tags: C++ Computer Science Data analysis Deep Learning Engineering Machine Learning Mathematics ML models Model deployment Python Research Statistics

Perks/benefits: Career development

Regions: Remote/Anywhere Asia/Pacific
Country: India
Job stats:  46  20  0

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