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Machine Learning Engineer

Machine Learning Engineer

3-6 Years 1 Opening Hyderabad


  • The ideal candidate will have experience in the latest techniques in Artificial Intelligence, Natural Language Processing, and Machine Learning (including Deep Learning approaches).
  • We’re looking for someone with specialized knowledge and general skills. Someone who can architect new features one day and produce optimized code the next.
  • The ideal candidate has a strong mix of education and practical experience.


  • High level skills needs – Python, NLTK (Natural language processing api in python) and Tensorflow. At a minimum good python skills and knowledge of machine learning.
  • Deliver a commercially deployable platform that provides automated content generation.
  • Use NLP and ML techniques to bring order to unstructured data.
  • Experience in extracting signal from noise in large unstructured datasets a plus.
  • Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems.
  • Work alongside an excellent, cross-functional team across Engineering, Product and Design.

About You:

  • Previous early-stage company experience is a plus.
  • Experience in applying machine learning techniques, Natural Language Processing. (NLTK)
  • Strong analytical and problem-solving skills.
  • Solid software engineering skills specifically in Python.
  • Problem solver – able to work independently, and be comfortable with deadlines and milestones.
  • Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques.
  • Strong communication skills and an easy going attitude.
  • Proven ability to apply, debug, and develop machine learning models for real-world applications.
  • Previous industry work experience required.


  • Machine Learning
  • Natural Language Processing
  • Artificial Intelligence
  • Git, Spark, TensorFlow
  • Python


  • BS (with at least 3 years of industrial experience), MS or PhD in Computer Science or related field and/or equivalent experience in the space.

Personal & Professional Details

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