Machine Learning Engineer

Overview

We are looking for a visionary Machine Learning Engineer to bridge the gap between cutting-edge research and real-world applications. In this role, you won’t just be training models; you will be architecting the visual intelligence that powers our next generation of products. You will join a high-impact team dedicated to solving complex spatial and visual problems at scale.

What You’ll Do

• Architect & Innovate: Own the journey from research to production-ready computer vision pipelines.
• Optimize Performance: Build high-speed deep learning models for real-time detection and recognition.
• Lead with Data: Curate massive datasets and apply advanced engineering to maximize model accuracy.
• Collaborate & Integrate: Partner with cross-functional teams to embed AI insights into core products.
• Stay Ahead: Proactively prototype SOTA architectures to keep our solutions at the cutting edge.
  
  

• Expert in Python and OpenCV. You are framework-agnostic but a power user of PyTorch or TensorFlow.
• 2–5 years of shipping ML products. You know how to move beyond research notebooks into scalable production code.
• A problem solver obsessed with robust, explainable AI and clean, rigorous validation.
• Strong mastery of the math behind CV—specifically geometry, linear algebra, and optimization.
  
  

Skills:- Python, OpenCV, PyTorch and TensorFlow