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Track3D
Machine Learning Engineer (3 – 5 Years Experience)
Track3D
Hyderabad•On-site•3-6 Yrs•2 hours ago
Job description
Computer VisionAI SolutionsConstruction TechReal-Time MonitoringSaaS Startup
Overview
Senior Machine Learning Engineer focused on advancing work in object detection, image segmentation, and 3D reconstruction. Role involves working on cutting-edge computer vision problems in the construction industry with a focus on real-world deployment.
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
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
- Decent experience with object detection models and segmentation techniques
- Strong understanding of 3D vision techniques (SfM, MVS, SLAM, COLMAP)
- 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
Nice to have
- 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
Benefits
- Join a high-growth SaaS startup transforming how the world builds
- Work at the intersection of AI, computer vision, and construction tech
- Own end-to-end ML systems from research to deployment
- Work closely with product, engineering, and leadership
- High-impact, fast-paced environment where contributions drive product performance and customer success