Senior Machine Learning Engineer

Track3D; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Track3D, Hyderabad, India, is seeking a Senior Machine Learning Engineer to advance computer vision for construction monitoring. You will own end-to-end CV solutions, from research to production, focusing on object detection, segmentation, and 3D reconstruction, with real-world deployment.

The role requires 6+ years in ML/CV, strong Python and PyTorch/TensorFlow skills, and ability to collaborate across teams. Experience with 3D vision techniques and open-source tools is a plus.

Qualifications

• 6+ years hands-on experience in ML and computer vision.
• Proficiency in Python and libraries such as PyTorch, TensorFlow, OpenCV.
• Experience with object detection models and segmentation.
• Strong understanding of 3D vision techniques (SfM, MVS, SLAM, COLMAP).
• Excellent debugging, problem-solving, and code comprehension skills.
• Good written and verbal communication skills.

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.
• Understand and enhance existing codebases with clean, efficient, and maintainable code.
• Communicate findings clearly across technical and non-technical teams.

Skills

Machine Learning

Computer Vision

Python

PyTorch

TensorFlow

OpenCV

Object detection

Segmentation

3D vision

Tools

Git

Job description

Job Description: Senior Machine Learning

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 RCD 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-functionalteams to integrate ML models into production systems
• Conductresearch and experiments to evaluate emerging methods and improve
• 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 :

• 6+ years of hands-on experience in Machine Learning and Computer Vision
• Proficiency in Python and libraries such as PyTorch, TensorFlow, OpenCV,
• Decent experience with object detection models and segmentation
• 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