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Machine Learning Engineer

1 month ago

bangalore, India Zyoin Group Full time

Experience: 5-8 Years


Responsibilities

  • Work closely with MLEs, MLOps, Data Engineers, and Data Scientists to build and extend our DS/ML platform and use cases.
  • Build MVP applications to showcase the value of DS/ML models, owning the end-to-end process.
  • Develop re-usable production-grade functionality and automation around DS/ML feature pipelines, real-time/batch inference, continuous training, model monitoring, and more.
  • Participate in design sessions and brainstorming with the team on how to solve complex data problems with scalable solutions.
  • Work closely with Data Scientists to support productionizing their use case.
  • Use Python, Spark, AWS, Snowflake.
  • Perform code review and end-to-end testing.
  • Can demonstrate awareness of data visualization tooling and techniques.


Ideal Candidate will

  • Decent understanding of Machine Learning Systems (model training, model inference, APIs, feature pipelines, continuous training, model monitoring).
  • Have 5 to 8 years of experience as data scientist, data analyst with an appropriate background in ML, DL or statistical modeling.
  • Have experience and awareness of applying popular analytical and statistical techniques.
  • Have knowledge of serving a model and its pipelines in production.
  • Be familiar with a machine learning framework : PyTorch (preferred), TensorFlow, or Keras.
  • Understand concepts of linear algebra and/or statistics where applicable.
  • Understand the patterns, anti-patterns, pitfalls of all important techniques outlined in the Responsibilities.
  • Good proficiency in the language of their choice.
  • Have excellent communication skills and can work in a team