Stepping Edge
Website:
steppingedge.com
Job details:
Job Title: Computer Vision Engineer (5+ Yrs Exp)
About the Role:
We're looking for a Computer Vision Engineer with 5+ years of experience to join our team and help build production-grade systems that extract meaning from visual data. Experience in building and integrating computer vision models into production web applications, including developing scalable REST APIs or gRPC services (using FastAPI, Flask, or Django) and connecting them with front-end technologies like React, Vue.
Core Responsibilities:
- Design, develop, and deploy computer vision models for tasks such as object detection, segmentation, tracking, classification, and image/video analysis.
- Own the full ML pipeline: data collection and labeling strategy, model training, evaluation, and production deployment.
- Optimize models for performance, latency, and efficiency on target hardware (cloud, edge, or embedded devices)
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Build and maintain robust data pipelines and MLOps infrastructure for training and inference
- Debug and improve model performance through rigorous experimentation and error analysis
Preferred Qualifications:
Note: Must have experience in any few of the domains and deployment mentioned below.
- Domain Experience: Robotics, Healthcare, autonomous vehicles, retail/Manufacturing automation, consumer electronics & IoT
- Deployment Experience: Edge devices (NVIDIA Jetson), Cloud Platforms (AWS,GCP,Azure), or hybrid edge cloud setups with exposure to Docker, Kubernetes, and MLOps Practices.
Role-Specific knowledge:
- Hands-on experience building and deploying computer vision systems in production
- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or similar)
- Solid understanding of core CV techniques: CNNs, object detection (YOLO, Faster R-CNN, etc.), segmentation, image processing fundamentals
- Experience with model optimization and deployment (ONNX, TensorRT, quantization, edge deployment, or cloud inference services)
- Familiarity with MLOps tools and practices (experiment tracking, CI/CD for ML, model versioning)
- Strong software engineering fundamentals — clean code, version control, testing
- Excellent problem-solving skills and ability to work independently in a fast-paced environment
Key Competencies:
- Analytical and problem-solving skills.
- Innovation and research mindset.
- Strong communication and collaboration skills.
- Attention to detail.
- Ownership and accountability.
- Ability to mentor and guide technical teams.
- Background in generative vision models (diffusion models, GANs) or vision-language models
- Publications or contributions to open-source CV/ML projects
What We Offer:
- Competitive salary and equity
- Collaborative, growth-oriented team culture
- Challenging AI Projects
Click on Apply to know more.