MLOps Engineer

Das ist der Job

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Our Values are not just words on a page – they are the energy behind everything we do: ONE IATA – We collaborate across teams; TRUSTED – We do the right thing; INNOVATIVE – We make tomorrow better; INCLUSIVE – We embrace diverse perspectives.

About the team you are joining Reporting to the Lead MLOps Engineering, the MLOps Engineer will be responsible for developing and maintaining solutions and infrastructure for AI projects across IATA. Great team player with humility, integrity, accountability, and a collaborative mindset.

Travel Required: N Learn more about IATA’s role in the industry, our benefits, and the team. Employment Type: Permanent Why you will love working here At IATA, we represent over 350 airlines worldwide, striving to make aviation safer, smarter, more sustainable, and inclusive. Diversity, equity, and inclusion are priorities.

We are certified by the Equal Salary Foundation, offering equal pay and family-friendly policies. We encourage community involvement through volunteering and strive to improve aviation and communities. We offer time off to support causes important to you.

We promote work‑life balance with flexible options, including remote and hybrid work, a generous work-from-abroad policy, and a birthday off.

The role involves working closely with Data Scientists as well as Cloud and Data Engineers to transform proof‑of‑concept models into production‑ready solutions, and providing operational support for IATA Data Scientists globally.

What your day would be like Deliver production‑ready ML systems end to end, from data pipelines to packaged, versioned, scalable, and deployed models. Implement and maintain CI/CD/CT pipelines for ML workflows, including automated testing, model/version management, packaging, deployment automation, and reliable delivery practices.

Monitor, maintain, and continuously improve ML systems in production, optimizing model performance, infrastructure cost, scalability, reliability, and operational efficiency. Apply and promote strong ML engineering best practices, including data governance, security, reproducibility, standardized reusable patterns, and shared platform capabilities.

Provide operational and technical support to Data Scientists across IATA, including ticketing, monitoring, troubleshooting, and mentoring on Cloud, DevOps, AI system design, and production ML best practices.

We would love to hear from you if Advanced degree in Computer Science, Engineering, or another science-related field, or equivalent relevant experience. 5+ years of experience in MLOps Engineering, DevOps, Data Science, or a similar technical role, with hands-on exposure to production ML/AI systems.

Strong programming and data skills, including proficiency in Python and SQL. Solid DevOps and Cloud engineering expertise, including CI/CD, Terraform, Docker, automation, infrastructure-as-code, and deployment best practices; designing scalable Cloud solutions (ideally on AWS).

Strong AI knowledge, including ML/AI and data-processing solutions, as well as solid understanding of Generative AI/LLMs, traditional ML models, and ML workflows. We are looking forward to hearing from you! #J-18808-Ljbffr