D&D Hardware Engineer

Job Title: Computer Vision & AI Engineer

Department: Technical Division

Location: Indore (On-site)

Experience: 1–5 Years

Company: Robro Systems

Website:

About Robro Systems

Robro Systems is a fast-growing innovator in AI-powered machine vision and industrial automation , specializing in real-time web inspection systems for technical textiles. Our flagship product, the Kiara Web Inspection System , empowers manufacturers with defect detection, quality control, and data-driven insights. At Robro, we are driven by Vision, Intelligence, and Control , leveraging AI and robotics to make factories smarter and more efficient.

Role Overview

We are seeking an experienced AI / Computer Vision Engineer to develop and deploy intelligent solutions for industrial automation and machine vision applications. The ideal candidate will design algorithms, build machine learning models, and implement computer vision systems for real-time defect detection, classification, and analytics.

Key Responsibilities

Develop and implement AI and computer vision algorithms for defect detection, classification, and process optimization.
Work with large datasets to train, validate, and optimize machine learning and deep learning models.
Collaborate with cross-functional teams (Engineering, Product, Robotics) to integrate AI solutions into industrial systems.
Deploy AI models to production environments and monitor performance.
Troubleshoot, refine, and improve algorithms for accuracy, efficiency, and scalability.
Stay updated on the latest advancements in AI, deep learning, and computer vision technologies.
Document and communicate technical solutions effectively to team members and stakeholders.
Requirements

Requirements

Education:

~ Bachelor's or Master's degree in Engineering (Computer Science, Electrical Engineering, Robotics, or related field).

Experience:

~1–5 years of experience in AI, machine learning, and computer vision development.

Skills:

Strong knowledge of machine learning, deep learning, and computer vision techniques.
Deep understanding of Neural Networks functioning, annotation, and AI Model development lifecycle.
Proficiency with AI frameworks such as TensorFlow, PyTorch, or similar.
Experience with computer vision libraries like OpenCV & YOLO.
Experience developing and deploying AI Models in real-world production environments.
Analytical mindset with strong problem-solving capabilities.
Excellent communication and teamwork skills.
Preferred:

Experience in industrial automation, robotics, or machine vision systems.
Programming skills in Python, C++, or equivalent languages.
Knowledge of edge computing and deployment of AI models on embedded/hardware devices.
Familiarity with cloud platforms and AI deployment tools.
Prior experience in production-level deployment of AI models.