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

or Send resumes to

with a short note on why you'd be a great fit for
Track3D