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Gen AI Professional @ Virtusa

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 Gen AI Professional

Job Description

The Data Analytics team is responsible for integrating new data sources, creating data models, developing data dictionaries, and building machine learning models for Wholesale Bank.

  • The primary objective is to design and deliver data products that assist squads at Wholesale Bank in achieving business outcomes and generating valuable business insights.
  • Within this job family, we distinguish between Data Analysts and Data Scientists Requirements
  • We are seeking a highly skilled Data Science and Machine Learning specialist with 2+ years of experience in Advanced Analytics, Statistical and ML model development.
  • In this role, candidates will be responsible for leveraging data-driven insights and machine learning techniques to solve complex business problems, optimize processes, and drive innovation.
  • The ideal candidate will be skilled in working with large datasets.
  • Key Responsibilities:

    • Extract and analyse data from company databases to drive the optimization and enhancement of product development and marketing strategies.
    • Analyse large datasets to uncover trends, patterns, and insights that can influence business decisions.
    • Leverage predictive and AI/ML modelling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more.
    • Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more.
    • Conduct experiments to fine tune machine learning models and evaluate their performance using appropriate metrics.
    • 2+ years of experience in Analytics, Machine learning, Deep learning.
    • Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., Numpy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn).
    • Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats.
    • Hands on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection).

    Job Classification

    Industry: Banking
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Machine Learning
    Role: Data Science & Machine Learning - Other
    Employement Type: Full time

    Contact Details:

    Company: Virtusa
    Location(s): Hyderabad

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    Keyskills:   Ai Tensorflow Data Wrangling Natural Language Processing Programming Revenue Generation Machine Learning Deep Learning Numpy Analytics Marketing Data Science Pytorch Pandas Business Insights Keras Predictive Analytics Python

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    Virtusa

    At Virtusa, we value teamwork, professional and personal growth, and quality of life. Our values lay the foundations of our corporate culture. We aim at providing a dynamic platform for great minds to connect and work together to reach their full potential. Our values preserve the team environment...