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    Python, GCP MLOpsa Kubernetes - Chennai, India - HTC Global Services

    HTC Global Services
    HTC Global Services Chennai, India

    Found in: Appcast Linkedin IN C2 - 23 hours ago

    HTC Global Services background
    Technology / Internet
    Description

    Position Description:

    Short Description: We are seeking a highly skilled and experienced Machine Learning Engineer with in-depth knowledge and hands-on experience in Computer Vision (CV), deep learning, and related technologies to join our team.

    The ideal candidate will have a proven track record of applying these skills in the fields of autonomous vehicles, ADAS (Advanced Driver Assistance Systems), and manufacturing.

    Responsibilities:


    • Lead the design, development, and implementation of 2D and 3D CV algorithms and systems for classification, detection, segmentation, key point estimation, image and video generation with generative AI, image and video captioning, contrastive learning, embedding-based search, large language models, stable diffusion, visual question answering, and synthetic data generation.


    • Utilize knowledge in MLOps, Kubernetes, and RESTful APIs, and experience with cloud platforms like GCP and AWS to deploy and maintain CV systems.


    • Apply hands-on experience in the fields of autonomous vehicles, ADAS, and manufacturing to develop innovative solutions that address complex challenges in these domains.


    • Research and stay up-to-date with the latest advancements in CV technologies and techniques..
    • Collaborate with cross-functional teams in an agile environment to understand requirements and develop solutions that meet the needs of the business.

    Qualifications:


    • A Master's or Ph.D. in Computer Science, CV, Robotics, or a related field.
    • 5+ years of professional experience in CV development with strong understanding of image processing and deep learning techniques.


    • Strong programming skills in Python.


    • Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras.


    • Hands-on experience with MLOps, Kubernetes, Docker, and RESTful APIs, and knowledge of cloud platforms like GCP or AWS.


    • Experience collaborating with backend and frontend software engineers in an agile environment.

    Skills Required:

    Python Computer Vision Deep Learning Cloud - GCP MLOpsa Kubernetes Restful APIs

    Skills Preferred:

    ADAS AVs CI CD Sonarqube Unit Testing

    How to Apply:


    • Interested professionals are invited to submit their resume to


    • Please include "Python, GCP MLOpsa Kubernetes" in the subject line.