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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.
Skills
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About Company
Michael Page is a globally renowned recruitment consultancy, connecting top-tier talent with leading organizations across various sectors. Through Michael Page Careers, it offers unparalleled opportunities for ambitious professionals to advance their careers. With a vast network of clients and a reputation for excellence, Michael Page provides tailored recruitment solutions that match candidates with roles where they can thrive. Committed to nurturing talent and fostering growth, Michael Page Careers offers support, guidance, and development opportunities to individuals at every stage of their career journey. Join Michael Page Careers to unlock your potential and take the next step towards professional success.
Important dates & deadlines?
Application Deadline
14 Jun 26, 01:44 PM IST
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