Sr Machine Learning Engineer – Computer Vision

5 years

0 Lacs

hyderabad telangana india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

learning vision ml segmentation reconstruction cutting deployment design analyze research pytorch tensorflow opencv numpy debugging code communication data processing pipeline github collaborative git

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role:

Senior Machine Learning Engineer

construction domain

Key Responsibilities:

  • Design and implement models for

    object detection

    ,

    semantic/instance segmentation

    , and

    3D reconstruction

  • Analyze and debug large-scale computer vision pipelines
  • Collaborate with cross-functional teams to integrate ML models into production systems
  • Conduct research and experiments to evaluate emerging methods and improve current workflows
  • Understand and enhance existing codebases with clean, efficient, and maintainable code
  • Communicate findings clearly and effectively across technical and non-technical teams

Required Qualifications:

  • 2–5 years of hands-on experience

    in Machine Learning and Computer Vision
  • Proficiency in

    Python

    and libraries such as PyTorch, TensorFlow, OpenCV, NumPy etc.
  • Decent experience with

    object detection

    models and

    segmentation

    techniques.
  • Strong understanding of

    3D vision techniques

    (SfM, MVS, SLAM, COLMAP, etc.)
  • Excellent debugging, problem-solving, and code comprehension skills
  • Positive attitude, curiosity-driven approach, and strong willingness to learn and adapt
  • Good written and verbal

    communication skills

Preferred Qualifications:

  • Exposure to

    construction technology

    or

    domain-specific datasets

    (e.g., aerial/spherical/360 imagery)
  • Experience with large-scale data processing and pipeline optimization
  • Publications, GitHub contributions, or open-source involvement in computer vision projects
  • Experience working in collaborative environments using version control (e.g., Git) and code review processes


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