ML Engineer

ML Engineer.

Full Time


  • Understanding business objectives and formulating the problem as a Machine Learning problem.
  • In-depth knowledge of various NLP domains such as entity extraction, topic modeling, knowledge graphs, parsing, question answering, etc and linking with domain specific dictionaries.
  • Expertise in a variety of Deep Learning architectures including RNN, CNN, LSTMs, Transformer, and Transfer Learning.
  • Excellent background in Machine Learning (generative model, discriminative model, neural network, regression, classification, clustering, etc.) and conversational AI (chatbots).
  • Implement cutting edge CV techniques in image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV.
  • Hands-on experience in any public cloud environment (AWS, GCP or Azure).
  • Ability to build robust data processing and analytics pipelines.
  • Operationalize ML models into production environment(s).
  • Strong knowledge of software fundamentals, data structures and algorithms.
  • Strong analytical and problem-solving skills.
  • Quick learner passionate about Machine Learning and Data Science.

Good To Have:

  • Experience with big data frameworks such as Spark and Hadoop.
  • Experience with containerizing applications using docker.


  • 2+ years of ML + NLP experience.
  • Programming in Python.
  • Knowledge of SQL and NoSQL databases.
  • Expert ability to write robust code in Python.
  • Experience working with structured and unstructured data including data extraction, integration, and normalisation.
  • Very fluent in ML frameworks/libraries like Tensorflow, Pytorch, ONNX, Scikit Learn, Keras, Spacy.
  • Expert skill at manipulating data frames using Pandas and arrays using NumPy.

How to Apply

Please send your resume to

Consider the below given points while applying

  • Resume in MS Word or PDF format as an attachment to the email.
  • Subject of the email mentioning the job you are applying for.

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