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R&D Specialist

2.00 to 7.00 Years   Bangalore   14 Dec, 2022
Nokia Solutions and Networks India Pvt Ltd
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryTelecom / ISP
Functional AreaBio Tech / R&D / Scientist
EmploymentTypeFull-time

Job Description

    • Evaluate, design, and implement various computer vision based analytics solutions and productize them for Nokia Scene Analytics platform
    • Implement Nokia Scene Analytics platform
    • Refine and implement Nokia Scene Analytics platform and interact closely with Business Groups on implementation
    • Integrate, maintain, support, and further develop Nokia Scene Analytics Platform
    Your skills and experience You have:
    • 5+ years of overall experience in software/technology development with specific knowledge in some of the most relevant computer vision, machine learning, and deep learning frameworks (e.g., OpenCV, PyTorch, TensorFlow/Keras, ML stack, AI frameworks, more innovative tool to accelerate AI developments, etc.)
    • 2+ years of experience in designing, setting up and maintaining highly scalable CV/ML/DL based application
    • Experience in the use of NVIDIA GPU and associated frameworks in the context of container technologies such as docker, containerd, kubernetes, etc. for use in concurrent ML/DL workloads
    • Familiarity in working and applying agile and lean principles in design and implementation
    • Understanding of advanced analytics, including data management, predictive modeling, different types of machine learning, ML pipelines
    • Understanding of cloud engineering incl. Container-based Cloud IT frameworks and platforms, experience with state-of-the art frameworks such as Kubernetes, virtualization platforms
    • Bachelor s degree or equivalent in information technology, data science or related disciplines
    • Advanced skills in C/C++ and Python are essential
    It would be nice if you also had:
    • Experience with implementing and maintaining advanced analytics projects in a corporate tech environment is a huge plus
    • Good knowledge open-source packages and products
    • Master s degree or equivalent in information technology, data science or related disciplines
    ,

Keyskills :
data sciencedeep learningdata managementcomputer visionlean principlesmachine learningcommercial modelsadvanced analytics

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