Experience: 6.00 years

Salary: Confidential (based on experience)

Expected Notice Period: 30 Days

Shift: (GMT 05:30) Asia/Kolkata (IST)

Opportunity Type: Office ()

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: AI-powered construction monitoring platform)

(*Note: This is a requirement for one of Uplers client - AI-powered construction monitoring platform)

What do you need for this opportunity

Must have skills required

aerial/spherical/360 imagery)

- Experience with large-scale data processing and pipeline optimization

- Publications, Colmap, Exposure to construction technology or domain-specific datasets (e.g., GitHub Contributions, OpenCV, or open-source involvement in computer vision projects

- Experience working in collaborative environments using version control (e.g., SLAM, TensorFlow, 8 years of hands-on experience in Machine Learning and Computer Vision

- Proficiency in Python and libraries such as PyTorch, and code comprehension skills

- Positive attitude, and solid willingness to learn and adapt

- Good written and verbal communication skills, curiosity-driven approach, etc.)

- Excellent debugging, NumPy etc.

- Decent experience with object detection models and segmentation techniques.

- Strong understanding of 3D vision techniques (SfM

AI-powered construction monitoring platform is Looking for:

: Senior Machine Learning

Engineer ( 8 Years Experience)

Location: Hyderabad, India (Full-time, Onsite)

About Us

At our company, 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 current workflows

- Understand and enhance existing codebases with clean, efficient, and maintainable code

- Communicate findings clearly and effectively across technical and nontechnical teams

What We're Looking For :

- 8 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, quick-paced environment. Your contributions will directly influence product performance, user experience, and ultimately customer

success

How to apply for this opportunity

- Step 1: Click On Apply! And Register or Login on our portal.

- Step 2: Complete the Screening Form & Upload updated Resume

- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a recent challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

📌 Senior Machine Learning Engineer (Secunderabad)
🏢 Uplers
📍 Secunderabad