We’re Hiring: Computer Vision Engineer / Cloud Engineer Employment Type: Full-Time/Part-Time Level: Entry-Level / Mid-Level We are seeking an innovative and technically skilled Computer Vision Engineer / Cloud Engineer to join our technology team. In this role, you will be responsible for developing intelligent computer vision solutions while designing and managing scalable cloud infrastructure to support AI-driven applications. You will collaborate with AI engineers, software developers, data scientists, and DevOps teams to build cutting-edge solutions that deliver real-world business impact. If you are passionate about artificial intelligence, computer vision, cloud technologies, and innovation, we’d love to hear from you!

Key Responsibilities

Develop, train, and deploy computer vision models for image recognition, object detection, image segmentation, video analytics, and related applications. Design and implement scalable cloud infrastructure to support AI, machine learning, and data processing workloads. Build and maintain data pipelines for collecting, processing, and managing large-scale image and video datasets. Optimize machine learning models and cloud resources to improve performance, reliability, and cost efficiency. Deploy AI and computer vision solutions into production environments using cloud-native technologies. Collaborate with cross-functional teams to translate business requirements into technical solutions. Implement MLOps, CI/CD pipelines, and automation processes for model deployment and infrastructure management. Monitor system performance, troubleshoot issues, and ensure high availability of cloud-based services. Maintain documentation for system architecture, cloud environments, deployment procedures, and technical workflows. Research emerging technologies in computer vision, artificial intelligence, cloud computing, and automation. Ensure compliance with security, privacy, and infrastructure best practices. ✅ Requirements Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Information Technology, Computer Engineering, or a related field. Strong programming skills in Python, Java, C++, or similar languages. Experience with computer vision frameworks such as OpenCV, TensorFlow, PyTorch, YOLO, Detectron2, or equivalent tools. Knowledge of image processing, deep learning, neural networks, and machine learning techniques. Hands-on experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). Familiarity with Docker, Kubernetes, Terraform, CI/CD pipelines, and Infrastructure as Code (IaC) tools. Knowledge of databases, APIs, distributed systems, and cloud-native architectures. Strong analytical, troubleshooting, and problem-solving abilities. Excellent communication and collaboration skills. Relevant certifications in cloud technologies, AI, machine learning, or related technical fields are an advantage.

What We Offer

A dynamic and innovation-driven work environment. Opportunities to work on cutting-edge AI, computer vision, and cloud engineering projects. Career growth and continuous professional development opportunities. Exposure to advanced technologies, large-scale data systems, and enterprise cloud solutions. Supportive team culture with mentorship and knowledge sharing. Competitive salary and comprehensive benefits package. Access to technical certifications, training programs, conferences, and professional development resources.