Senior Machine Learning Engineer

1 week ago

Gurgaon, Haryana, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title:

Natural Language Processing Engineer

This is a role for an experienced Natural Language Processing (NLP) Engineer to join our team. As an NLP Engineer, you will be responsible for developing and implementing NLP models that can extract insights from large datasets.


About the Role:

  • You will work closely with our product team to understand their requirements and develop solutions that meet their needs.
  • You will design and implement algorithms for text processing, including tokenization, stemming, and lemmatization.
  • You will develop and train machine learning models using deep learning techniques such as Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs).
  • You will integrate your models into our existing infrastructure and ensure seamless integration with other systems.

Responsibilities:

  • Data Collection and Curation
  • Select appropriate annotated datasets for Supervised Learning methods
  • Use effective text representations to transform natural language into useful features
  • Find and implement the right algorithms and tools for NLP tasks
  • Develop ML/DL/NLP models according to requirements
  • Train the developed model and run evaluation experiments
  • Perform statistical analysis of results and refine models
  • Extend ML libraries and frameworks to apply in NLP tasks
  • Building recommendation engines to increase the personalization of content for the user
  • Testing and deployment of models on cloud services i.e. AWS/GCP etc.
  • Act as a bridge between product and engineering team to translate product requirements into the technical solutions
  • Stay updated and use industry best practices and latest technology trends
  • Prototype ideas rapidly using cutting edge technologies, drive architecture discussions, and proposes solutions to system and product changes
  • Deep understanding of NLP techniques for text representation, semantic extraction techniques, data structures and language modelling
  • Experience with NLP libraries and technologies including Spacy, NLTK, Gensim, Stanford NLP etc.
  • Proficiency with Python and basic libraries for machine learning such as Numpy, Scikit-learn and pandas
  • Exposure to DL Model optimisation and transfer learning technique
  • Experience of cloud environment AWS/GCP, Hadoop/Spark, SQL is a plus
  • Experience with technologies like Docker, Kubernetes, CI/CD, Git is a plus
  • Experience with ML Ops is a plus

Requirements:

  • Bachelor's degree in Computer Science or related field
  • 3+ years of experience in NLP development
  • Strong understanding of NLP concepts and techniques
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Proficiency in programming languages such as Python or Java

What We Offer:

  • A competitive salary package
  • A comprehensive benefits program
  • The opportunity to work with a talented team of engineers and researchers
  • Professional growth and development opportunities

How to Apply:

Apply now to become a part of our team

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