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    Senior Data Scientist - Bengaluru, India - Accolite

    Accolite
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    Description

    What the Business Does

    This role is based in the Cross functional data team . Team is responsible for creating, testing,

    deploying and managing smart automation tools using different technologies including but not limited to Python, AI/ML, Data science

    You're Responsibilities

    • In Depth understanding of ML Algorithms(Regression, Decision Tree) , Statistics
    • Hands on Experience with setting up ML pipelines(end to end : includes working knowledge of model drift, data drift) and well versed with MLflow
    • Should be able to pretrain models given the data within Hugging Space
    • Should have worked on various data formats: textual data, Metric data
    • Understanding of Hadoop architecture is also a plus (not necessary to have )
    • Hands-on knowledge of developing EDA / AI ML models using python
    • Thorough knowledge on python libraries and proven track record of implementing insights
    • using machine learning algorithms.
    • Creating, testing and deploying data models to predict different insights
    • Working across the life cycle, from requirements analysis and design, through coding to
    • testing, deployment and operations
    • Deployment of AI ML frameworks in live environment in a private/secure setup

    Skills You Need

    ● Coding experience in Python (5 years)

    ● Experience of working with python libraries like sk learn, matplotlib, numpy, pandas and

    other related AI/ML libraries like nltk, spacy.

    ● Experience of working on code repositories, bug tracking tools and wikis

    ● Experience of SQL

    ● Experience of DevOps and Agile methodology and associated toolsets and

    methodologies

    ● Experience of version control toolsets, such as GitLab, Bitbucket and Git

    ● Experience of AWS, Azure and GCP

    ● A background in solving highly complex, analytical and numerical problems

    ● Experience of implementing programming best practice, especially around scalability,

    automation, virtualisation, optimisation, availability and performance


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