Computer Vision Engineer

About Company,

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.

Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters

We are seeking a highly experienced Computer Vision Architect with deep expertise in Python to design and lead the development of cutting-edge vision-based systems. The ideal candidate will architect scalable solutions that leverage advanced image and video processing, deep learning, and real-time inference. You will collaborate with cross-functional teams to deliver high-performance, production-grade computer vision platforms.

Key Responsibilities:

• Architect and design end-to-end computer vision solutions for real-world applications (e.g., object detection, tracking, OCR, facial recognition, scene understanding, etc.)
• Lead R&D initiatives and prototype development using modern CV frameworks(OpenCV, PyTorch, TensorFlow, etc.)
• Optimize computer vision models for performance, scalability, and deployment on cloud, edge, or embedded systems
• Define architecture standards and best practices for Python-based CV pipelines
• Collaborate with product teams, data scientists, and ML engineers to translate business requirements into technical solutions Stay updated with the latest advancements in computer vision, deep learning, and AI
• Mentor junior developers and contribute to code reviews, design discussions, and technical documentation

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (PhD is a plus)
• 8+ years of software development experience, with 5+ years in computer vision and deep learning
• Proficient in Python and libraries such as OpenCV, NumPy, scikit-image, Pillow
• Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras
• Strong understanding of CNNs, object detection (YOLO, SSD, Faster R-CNN), semantic segmentation, and image classification
• Knowledge of MLOps, model deployment strategies (e.g., ONNX, TensorRT), and containerization (Docker/Kubernetes)
• Experience working with video analytics, image annotation tools, and large-scale dataset pipelines
• Familiarity with edge deployment (Jetson, Raspberry Pi, etc.) or cloud AI services(AWS SageMaker, Azure ML, GCP AI)

Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.