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Urgent! Machine Learning/ AI Engineer Job Opening In New Delhi – Now Hiring vuha.AI

Machine Learning/ AI Engineer



Job description

About Vuha

At

Vuha

, we’re reimagining manufacturing quality assurance through AI.

Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.

We’re seeking a

Machine Learning Engineer

passionate about building production-grade vision systems — models that

see, learn, and decide

in the real world.

You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.

What You’ll Do

Be a Founding Engineer to build the technical strategy and foundations for the company.

Design and train deep learning models for image-based defect detection.

Build pipelines for dataset acquisition, labeling and versioning.

Research and develop cutting edge models for defect detection on complex objects.

Optimize inference for

edge deployment

(TensorRT, ONNX).

Collaborate with software engineers to integrate models into real-time systems.

Research state-of-the-art techniques in object

detection models.

What We’re Looking For

We are looking for someone that is looking to build an AI company from the ground-up.

As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup.

Research to Production

: Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.

Model Innovation & Optimization

: Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects.

You'll work with the entire lifecycle, ensuring performance and efficiency.

End-to-End System Impact

: Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform.

You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.

Future-Proof Our AI

: Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.

What we expect- 5+ years of experience in ML, computer vision, or applied AI.

Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.

Experience with docker, CI/CD pipelines Experience with version control systems such as github/bitbucket.

Experience with model optimization for edge deployment and real time processing.

Strong understanding of CNN architectures, object detection, and anomaly detection.

Experience in end-to-end product development and deployment.

Full ownership of product development and deployment.

Curiosity, ownership, and the ability to thrive in an early-stage environment.

Strong documentation and communication skills A keen ability to critically read, understand, and implement state-of-the-art research papers.

Nice to Have

Experience with manufacturing, industrial vision, or robotics.

Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).

Why Join Vuha?

Build AI that powers the physical world —

factories, not feeds

.

Work closely with a founder-led engineering team with deep ML roots.

Competitive pay and early equity in a fast-growing vision startup.

Freedom to research, experiment, and innovate in production AI.


Required Skill Profession

Prb



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