MilliporeSigma | Jobs | Text Analytics Engineer (PySpark/AWS/MLOps) | BigDataKB.com | 31-01-22

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Job Location: Bengaluru

As Text Analytics Engineer, you will primarily focus on development and deployment of Natural Language Processing (NLP) / Text Analytics applications for various business sectors within our organization. You will be working closely with data scientists, data engineers and architects on use case ideation, proof-of-concept development, and propose optimum solutions that cater to the business needs. You will work in an agile environment to help design, develop, and maintain NLP/Text Analytics models and data pipelines.

  • As a core member of the NLP team, you will research, prototype, develop, deploy, and scale innovative NLP/Text Analytics/Machine Learning solutions in collaboration with other NLP Scientists, Data Engineers and Architect(s).
  • You will deploy variety of Text Analytics models on large-scale datasets to address various business problems leveraging advanced NLP, machine learning, or deep learning techniques.
  • Set up processes to monitor and continually improve efficiency and performance of model KPIs
  • Partner with data scientists to drive NLP/machine learning modeling, and experimental design such as A/B testing.
  • Software development including algorithm implementation, optimization, performance profiling, integration to production systems, testing and documentation.
  • Write high-quality production code as you build and maintain robust, scalable project pipelines.

Your Profile

  • Graduated with higher degree in computer science, information technology, information science, or similar fields
  • 4+ years of experience in designing, developing and implementing machine learning/deep learning models (supervised or unsupervised) preferably applied to the text data.
  • Strong programming experience in Python. Scala/Java is a plus.
  • Familiar with commonly used NLP, machine learning, and deep learning libraries such as PyTorch, Keras, Transformers, SKLearn, Gensim, SpaCy, NLTK and so-forth.
  • Experience with distributed computing with Apache Spark (PySpark).
  • Good understanding of document indexing systems such as Elasticsearch, Solr or Lucene.
  • Experience with version control (git), deployment of ML/NLP workflows leveraging DevOps/MLOps strategies.
  • Working experience in services offered by cloud technologies. AWS is a double plus.
  • Experience with deployment of dockerized applications is a double plus.
  • Good verbal written communication skills

Apply Here

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