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    Senior ML Engineer T500-11328 - Bengaluru, India - Delta Air Lines

    Delta Air Lines
    Delta Air Lines Bengaluru, India

    Found in: Appcast Linkedin IN C2 - 1 day ago

    Default job background
    Transportation / Logistics
    Description

    RESPONSIBILITES:

    • Responsible for the development and maintenance of AI / ML models and tools (e.g., forecasting, optimization, performance, etc.)
    • Collaborates with COE team and business owners to take a data-driven approach in identifying key customer pain-points, uncover insights, and develop techniques to address these issues
    • Detailed understanding of AI / ML techniques, calibrating and enhancing existing models, and monitoring model performance
    • Leverage emerging technologies and identify efficient and meaningful ways to deliver meaningful insights to the business
    • Hands-on experience with AI / ML data modeling, design tools, and business case delivery
    • Presents analysis to business users in a digestible way

    WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS):

    • Bachelor's degree in data science, statistics, mathematics, computer science or engineering discipline, or equivalent experience
    • 3 + years of work / educational experience leading development of Machine Learning and Artificial Intelligence
    • Experience with one or more general purpose programming languages including but not limited to: Java or C / C++ or Python or R
    • Experience and familiarity presenting to technical and business audiences
    • Embraces diverse people, thinking, and styles
    • Consistently makes safety and security, of self and others, the priority
    • Experience in ML Ops, building pipelines, and deploying models in AWS or Azure

    WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS):

    • Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch, SageMaker, Azure AI
    • Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition
    • Working knowledge of statistical / machine learning tools (e.g., SAS, R, TensorFlow) preferred
    • Working knowledge of "Big Data" solutions such as Hadoop, NoSQL, MapReduce, etc. preferred
    • Experience in designing data models for cloud-based solutions from leading cloud providers such as AWS (Amazon Web Services), Azure, etc.
    • Self-motivated and take pride in building great experiences for users, whether they are employees or customers.
    • Resourceful in finding the data and tools you need to get the job done
    • Not afraid to ask for help when you need it, or help teammates when they need a boost
    • Intensely curious about finding a solution to the pain-points of our customers along the entire travel experience
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