AI Engineer

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.

Job Offer:

• Competitive salary package and comprehensive benefits.
• Be at the forefront of AI innovation, shaping the future of government workforce analytics.

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, TensorFlow, PyTorch, and advanced AI model optimisation techniques.

4o