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AI Engineer

AI Engineer

Michael Page
7-12 Years
Not Disclosed

This job is no longer accepting applications

Job Description

  • 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.

More Info

Key Skills

I/ML engineering

model deployment

CI/CD pipelines for AI

About Company

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