Employment Type: Permanent
Contract Duration:
Why you will love working here
At IATA, we represent over 350 airlines worldwide, striving to make aviation safer, smarter, more sustainable, and inclusive.
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.- With over 30,000 courses available, we believe in continuous learning and support your growth in an ever-changing industry.
- Diversity, equity, and inclusion are our 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 make tomorrow better for aviation and our communities. We offer time off so you can support causes important to you.
- We promote work-life balance with flexible work options, including remote and hybrid work, a generous 'work from abroad' policy, and you get your birthday off!
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. The role will involve working closely with Data Scientists as well as Cloud and Data Engineers to transform proof-of-concept models into production-ready solutions, as well as providing operational support for IATA Data Scientists globally.
What your day would be like
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Deliver production-ready ML systems end to end, from data pipelines to packaged, versioned, scalable, and deployed models.
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Implement and maintain CI/CD/CT pipelines for ML workflows, including automated testing, model/version management, packaging, deployment automation, and reliable delivery practices.
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Monitor, maintain, and continuously improve ML systems in production, optimizing model performance, infrastructure cost, scalability, reliability, and operational efficiency.
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Apply and promote strong ML engineering best practices, including data governance, security, reproducibility, standardized reusable patterns, and shared platform capabilities.
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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.
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5+ years of experience in MLOps Engineering, DevOps, Data Science, or a similar technical role, with hands-on exposure to production ML/AI systems.
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Strong programming and data skills, including proficiency in Python and SQL.
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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)
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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.
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Great team player, operating 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 at iata/careers/. We are looking forward to hearing from you!
