Research Engineer

7 days ago

gurugram, India ixigo Full time

As a Research Engineer, you will be responsible for building and evolving innovative ML & DL based solutions. You are expected to have in-depth knowledge and acumen to understand the on-going research and harness it to develop products that are ready for the market.

In this role you will get a chance to work on some of the most challenging and interesting products that have a significant impact on revenue and user experience.

  • At least an undergraduate degree in Machine Learning, Computer Science, Applied Mathematics from Tier-1 college.
  • 2+ years of experience at cutting edge organizations or startups, 1+ years for MS Research, PhD Candidates.
  • Code, develop, design, and architect features. We expect you to own modules end to end and take pride in the work products you ship.
  • Awareness about the State of the Art techniques in Machine Learning & Data Science space.
  • Proactive attitude, curiosity, and persistence to go the extra mile.



Qualifications

  • Solid foundation in machine learning, predictive modeling, statistical modeling and optimization techniques
  • Excellent programming skills in Python, with a strong foundation in programming, optimization techniques, and software design
  • Ability to understand & implement research papers
  • Experience in architecting and implementing high-performance machine learning services
  • Proficiency with core techniques of linear algebra (as relevant for implementation of ML models) and common optimization algorithms
  • Expertise in implementing deep learning models and frameworks
  • Experience implementing ML automation, MLOps and associated tools
  • Hands-on experience in model compression techniques, including parameter quantization, etc
  • Experience in handling large amounts of data
  • Familiarity with SOTA transformer based models
  • Proven experience in solving fintech problems with ML and optimisation techniques is a plus
  • Published research papers in Tier-A conferences is a plus
  • Practical experience in solving problems with Reinforcement Learning is a plus
  • Open-source contributions would be highly regarded


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