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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