PE2025019 || Computer Vision

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 .

● Develop and maintain machine learning models, with a focus on computer vision algorithms.

● Implement image processing techniques such as object detection, segmentation, and image classification using Convolutional Neural Networks (CNNs).

● Work with TensorFlow or PyTorch to develop, train, and deploy vision models.

● Utilize OpenCV for tasks like feature extraction, image filtering, and object tracking.

● Collaborate with cross-functional teams to enhance AI-driven solutions in the mobile coding domain.

● Bachelor’s/Master’s degree in Engineering, Computer Science, or a related field.

● At least 5+ years of experience as a Python-focused Engineer.

● Expertise in image processing and computer vision algorithms using CNNs.

● Strong experience with TensorFlow/PyTorch for developing, training, and deploying vision models.

● Proficiency in OpenCV for image processing tasks.

● Excellent spoken and written English communication skills.

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.