Senior Software Developer

Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is building a future-ready AI base Cloud Service. 
We are developing next-generation, AI-powered solutions focused on transforming surveillance and authentication systems. Our work is at the forefront of revolutionizing security by moving away from traditional password-based authentication in favor of cutting-edge biometric and AI-driven technologies. You will play a key role in designing and implementing solutions that enable real-time, intelligent analysis of surveillance camera feeds, enhancing security systems with advanced features like facial recognition, behavior analysis. This is an exciting opportunity to contribute to a rapidly evolving field, where your innovations will drive the future of authentication and surveillance technologies, improving security on a global scale.

Qualifications :

• Master’s degree or equivalent experience (preferred) in Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Computer Vision, Operations Research, or a related field.
• 6+ years for Master's, or demonstrated experience in designing, implementing, and deploying machine learning models in production.
• Practical experience designing and deploying distributed systems using microservices architecture and APIs with frameworks like Spring Boot (Java).
• Experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes).
• Knowledge of machine learning techniques, statistical models, and performance tuning.
• Expertise in Java, Python, C++ .
• Strong understanding of data structures, algorithms, and problem-solving skills

Career Level - IC3

• Design, develop, and implement AI and machine learning models for real-time surveillance analysis, such as facial recognition, object detection, and behavior analysis.
• Develop and optimize biometric authentication systems using techniques like facial recognition, voice recognition, or fingerprint scanning.
• Manage and optimize Oracle Kubernetes Engine (OKE) infrastructure to securely host and scale AI models, ensuring seamless deployment, high availability, and efficient resource utilization for real-time surveillance and authentication solutions.
• Continuously monitor and improve the performance of AI models, focusing on accuracy, speed, and efficiency of real-time analysis.
• Optimize algorithms for lower latency, better scalability, and robust performance in varying conditions.
• Stay up-to-date with the latest advancements in AI, machine learning, biometric technologies, and surveillance systems.
• Proactively research new technologies, methodologies, and tools that can be integrated to improve the capabilities of the solution.
• Maintain thorough documentation of AI models, system architectures, and processes for future development and regulatory compliance.
• Provide regular updates on project progress, challenges, and results to management and stakeholders.
• Troubleshoot and provide technical support for deployed systems, helping to resolve any performance or integration issues quickly.

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