AI Engineer

Join a prestigious government organisation at the forefront of technological advancement, dedicated to leveraging the power of Artificial Intelligence to optimise analytics and drive impactful decision-making. Responsibilities: Design, develop, and optimise AI infrastructure for scalable machine learning model deployment. Implement MLOps methodologies to streamline the entire AI model lifecycle. Drive automation of AI workflows, enhancing efficiency in data pipelines and AI-driven insights. Architect and deploy cloud-based AI solutions, ensuring optimal scalability and efficiency. Develop APIs and microservices to seamlessly integrate AI models with enterprise applications. Optimise AI models for peak performance, minimising computational overhead and maximising inference speed. Implement MLOps best practices for smooth AI model deployment, monitoring, and governance. Minimum Requirements: Bachelor's or Master's degree in AI, Computer Science, or a related field. 7 years of hands-on experience in AI/ML engineering, model deployment, and automation. Proven expertise in Kubernetes, Docker, CI/CD pipelines for AI, and cloud platforms (Azure, AWS, GCP). Strong proficiency in Python, Tensor Flow, Py Torch, and advanced AI model optimisation techniques. #J-18808-Ljbffr