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    Data Scientist - Pune, India - Axtria - Ingenious Insights

    Axtria - Ingenious Insights
    Axtria - Ingenious Insights Pune, India

    Found in: Talent IN 2A C2 - 5 days ago

    Default job background
    Description

    Axtria is looking for professionals who can join in Data Science team,

    Necessary Skills–

    • 3+ years of experience of model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS (Data Science Studio) environment would be a plus
    • Strong experience on Spark with Scala/Python/Java
    • Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment.
    • Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering
    • Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus.
    • Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib
    • Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.)
    • Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence
    • Good understanding of any of the cloud platform – AWS, Azure or GCP
    • Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus
    • Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems.

    Required Experience:

    • Real-world experience in implementing machine learning/statistical/econometric models/advanced algorithms (ideally, 3+ years of experience involving machine learning)
    • Breadth of machine learning domain knowledge
    • Experience in application of machine learning algorithms (classification, regression, deep learning, NLP, etc.)
    • Experience with a ML/data-centric programming language (such as Python, Scala, or R) and ML libraries (pandas, numpy, scikit-learn, etc.)
    • Experience with Apache Hadoop / Spark (or equivalent cloud-computing/map-reduce framework
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