Wolters Kluwer | Jobs | Senior Machine Learning Engineer | BigDataKB.com | 27-03-22

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Job Location: Kalyani

 

Responsibilities

  • Develop predictive models using supervised and unsupervised machine learning/deep learning
  • Build models for forecasting and anomaly detection
  • Provide expertise in data wrangling, exploratory data analysis and feature engineering with large data sets
  • Support the development of proofs of concept to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with product and other development teams
  • Collaborate effectively with other teams across DXG and Wolters Kluwer
  • A self-starter who can align the technology solution with a business goal

Qualifications

  • Graduate degree (MS or PhD) in Computer Science, Engineering, Mathematics or equivalent, specializing in machine learning or a related field
  • 3+ years experience in supporting development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning
  • Strong hands-on expertise in Python and open source libraries/frameworks/tools such as NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, jupyter, anaconda, transformers, etc.
  • Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch
  • Experience in applying deep learning to NLP
  • Computer vision modeling a plus
  • Experience with designing, building, and optimizing data and model training pipelines
  • Experience in SageMaker or Azure ML Studio a plus
  • Experience with cloud-based platforms (AWS or Azure) for solution delivery
  • Experience working with agile and Software Development Lifecycle tools (e.g. JIRA, Confluence, Git) and Test-Driven Development (TDD)

Apply Here

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