Senior Machine Learning Engineer

Job Description: Senior Machine Learning Engineer (3 – 5 Years Experience)
Location: Hyderabad, India (Full-time, Onsite)
About Track3D
At Track3D, we’re building the future of construction monitoring with our Reality Intelligence Platform . By turning real-time visual data into AI-powered insights, we help owners, general contractors, and trade partners track progress, reduce disputes, and accelerate project outcomes.
We are a fast-growing enterprise SaaS startup working with some of the biggest names in the construction industry and we’re just getting started.

Role Overview: Senior Machine Learning Engineer
We are seeking a passionate and skilled Senior Machine Learning Engineer to join our ML team, focused on advancing our work in object detection, image segmentation, and 3D reconstruction. The ideal candidate will bring strong technical capabilities, a proactive R&D mindset, and an eagerness to stay updated with the latest advancements in computer vision.
This role involves working on cutting-edge CV problems, understanding and improving complex codebases, and contributing meaningfully to our mission. Experience in the construction domain or real-world deployment scenarios is a strong plus.

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

What We’re Looking For :
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

Why Join Us?
Join a high-growth SaaS startup transforming how the world builds. We're redefining construction monitoring with cutting-edge technology—backed by real industry demand and rapid adoption.
Build and deploy ML at scale in the real world. You'll work at the intersection of AI, computer vision, and construction tech—solving complex problems with tangible impact on infrastructure and cities.
Own end-to-end ML systems. From research and prototyping to deployment and optimization, your work will power key product features and influence our core technology roadmap.
Work closely with product, engineering, and leadership. Collaborate across teams to ensure ML is driving measurable value across the platform and helping shape our technical strategy.
High-impact, fast-paced environment. Your contributions will directly influence product performance, user experience, and ultimately customer success.

How to Apply:
Please fill the google form given
https://forms.gle/mC2hDRpQgReyGS7P6
or Send resumes to careers@track3d.ai with a short note on why you’d be a great fit for Track3D