TVS Next | Jobs | Deep Learning Engineer | BigDataKB.com | 31-03-22

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    Job Location: Bangalore/Bengaluru

    What you ll be doing

    In this role, you ll:

    • Work on end-to-end data science lifecycle: from building proof-of concept models to production-ready models work with engineers to deploy them to production
    • Execute and take ownership of deep learning projects end-to-end. Good exposure to various deep learning algorithms and frameworks
    • Should be able to effortlessly switch between roles of an Individual Contributor, team member, and data science manager as demanded by each project
    • Figure out gaps in existing products and adding intelligence to improve it
    • Designing the frameworks in data sciences (R, Python, Azure ML, Amazon ML, Google ML, Spark etc) to be used for relevant projects
    • Keep updated on latest research in AI and deep learning and find ways in which it can be used to solve business problems
    • Must be able to read research papers (eg: some novel architectures, training techniques, etc.) and be able to implement it fully to solve our specific problems

    . What we seek in you:

    • 5 years of strong experience in machine learning and 3 years of experience in production-level deep learning projects is a must
    • Expert user of Python
    • Hands-on experience in handling unstructured (image, video, audio) and build solutions using Deep Learning / Machine Learning
    • Experience in implementing object detection, GAN s. Knowledge of reinforcement learning is a plus.
    • Good grasp and detailed knowledge of any one deep learning library (PyTorch, Tensorflow, Caffe etc.) is a must
    • Experience with Data Visualization tools like Tableau, Microsoft Power BI and SiSense
    • Exposure to working on AI/Data Science/Analytics platforms like Microsoft AI, Amazon AI, IBM WATSON, H20, Knime
    • Strong business acumen to understand business objectives dynamics and possess excellent written and verbal communication skills for coordinating across teams
    • Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.
    • Experience in machine learning, supervised and unsupervised: Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Neural Networks, Deep Learning Algorithms.
    • Strong problem-solving skills.

    Technical skills:

    • Good grasp and detailed knowledge of any one deep learning library (PyTorch, Tensorflow, Caffe etc.) is a must
    • Experience with Data Visualization tools like Tableau, Microsoft Power BI and SiSense
    • Exposure to working on AI/Data Science/Analytics platforms like Microsoft AI, Amazon AI, IBM WATSON, H20, Knime

    Apply Here

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