Remotery

AI Operations Engineer

atTiger Resourcing GroupRemoteIE flagIrelandFreelanceArtificial IntelligenceMid-levelSenior€400 – €500/year

Posted Jun 11

This is a fully remote position, open to applicants in Ireland.

📋 Description

• Design, construct, and oversee the AI infrastructure and architecture within AWS environments.

• Facilitate the deployment and scaling of AI/ML solutions from initial prototypes to full production.

• Establish and implement technical standards, evaluation frameworks, and validation processes for AI solutions.

• Create monitoring, governance, and trust mechanisms to ensure the reliable and transparent operation of AI platforms.

• Collaborate closely with technical teams, data science, product, and Medical Affairs teams to enable scalable AI delivery.

• Ensure that AI platforms adhere to operational readiness standards, encompassing reliability, performance, security, and maintainability.

• Assist in the development of repeatable frameworks and best practices for the deployment of AI solutions.

• Contribute to the ongoing enhancement of AI operations, MLOps processes, and cloud architecture.

• Ensure that AI initiatives are executed in compliance with the requirements of a regulated pharmaceutical environment.


⛳️ Requirements

• Extensive experience in AI/ML Operations, MLOps, or AI platform engineering.

• Strong background in AWS cloud architecture.

• Demonstrated experience in deploying and scaling AI/ML solutions in production environments.

• Proficient in designing robust, reliable, and scalable technical infrastructures.

• Knowledge of evaluation, validation, monitoring, and governance frameworks for AI solutions.

• Ability to collaborate across technical and business teams in complex enterprise settings.

• Solid understanding of operational excellence, reliability, and production readiness.


🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.

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