Exponentia.ai - Machine Learning Engineer - NLP/Python

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Job Summary

Job Type


Years of Experience
Information not provided

Tech Stacks
Python Azure PyTorch Cloudera SpaCy Qlik Entity Analytics play AWS TensorFlow

Job Description

Company Profile

Exponentia.ai is an AI tech organization with presence across India, Singapore, Middle East, and the UK. We are an innovative and disruptive organization, working on cutting edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision making to improve productivity, quality, and economics of the underlying business processes.

Currently, we are transforming ourselves and rapidly expanding our business. Exponentia.ai has developed long term relationships with world class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others.

One of the top partners of Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia.ai has recently been awarded 'Innovation Partner Award' by Qlik in 2017.

Job Details

Position : Machine Learning Engineer

Experience : 3 - 5 years

Location : Mumbai

Required Skills : ML, DL, NLP, Tensorflow/Pytorch, NLTK, spaCy, Huggingface Transformers

Role Overview

As a Machine Learning Engineer specializing in NLP and deep learning at Exponentia.ai, you will be responsible for developing and implementing AI models that can understand, interpret, and produce human language. Working at the intersection of machine learning, artificial intelligence, and computational linguistics, you will play a crucial role in enhancing our products and services with advanced language processing capabilities.

Job Responsibilities

  • Design, develop, and deploy scalable machine learning models focused on NLP and deep learning.
  • Collaborate with cross-functional teams to understand business requirements and integrate AI solutions into our products.
  • Conduct research on the latest advancements in NLP and deep learning to continuously improve our models and approaches.
  • Work with large and complex datasets to train and fine-tune models for various NLP tasks such as sentiment analysis, language translation, and text summarization.
  • Implement best practices in model development, validation, testing, and deployment to ensure high quality and efficient AI solutions.
  • Communicate complex models and algorithms to non-technical stakeholders, providing insights and recommendations based on model outputs.


  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
  • Strong theoretical and practical knowledge of machine learning, NLP, and deep learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
  • Experience with NLP tasks such as text classification, named entity recognition, machine translation, or speech recognition.
  • Proficiency in programming languages commonly used in AI, such as Python, and familiarity with libraries like NLTK, spaCy, or Transformers.
  • Experience with data preprocessing, model training, tuning, and evaluation techniques specific to NLP and deep learning.
  • Strong analytical and problem-solving skills, with the ability to work on complex issues requiring innovative solutions.
  • Excellent communication and teamwork skills, with a passion for continuous learning and staying up-to-date with the latest AI trends and research.

Nice To Have

  • Publications or contributions to the field of NLP or deep learning.
  • Experience with cloud computing services (e.g., AWS, GCP, Azure) and MLOps tools.


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