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Job description
About CompanyDroisys 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 . Job Role- Computer Vision Architect Location-NoidaWork from OfficeExperience- 8+ Years Job Summary: 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.
This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
Questions you may be asked
What is the difference between an AWS Region and an Availability Zone?
Explain the AWS shared responsibility model.
What is Amazon EC2, and how do you read an instance type name like m7g.large?
What is Amazon S3, and what are its main storage classes?
