Employment Type: Permanent

Employment Type: Permanent

Contract Duration:

At IATA, we speak for the airlines of the world, serving and supporting over 300 of them across all continents. We are passionate and knowledgeable about the aviation industry, and we strive to make it safer, smarter, more sustainable and more inclusive. We celebrate diversity and inclusion in our workforce, and we respect and value the different backgrounds, perspectives and skills of our employees. We also care about our employees’ wellbeing, and we provide flexible work arrangements, travel benefits, family-friendly policies, equal pay and a day off on your birthday. We believe in giving back to the community and encourage our staff to participate in volunteering activities that support causes they care about. We encourage you to join our global community of aviation enthusiasts, and we will do our best to make you feel comfortable during the interview process. IATA is more than a trade association; it is a vision of a better future for air travel.

Reporting to the Head Data Operations and Engineering, the ML (Machine Learning) Ops Data Engineer will be responsible for designing, implementing, and maintaining machine learning pipelines, ensuring the scalability and reliability of our ML models, and collaborating with data scientists and software engineers to optimize performance and resource utilization.

Design, implement, and maintain scalable and efficient ML pipelines, leveraging AWS services such as SageMaker, EMR, ECS, Lambda, Step Functions, Glue, and S3 as well as Snowflake.

Collaborate with data scientists to deploy and monitor ML models in a containerized environment, ensuring high availability and optimal performance

Implement and maintain CI/CD pipelines for ML workflows, including automated testing, versioning, and deployment of ML models

Monitor and optimize the performance of ML models, identifying opportunities for improvement and implementing best practices

Ensure data privacy, compliance, and security throughout the ML lifecycle

Collaborate with software engineers to integrate ML models into applications and services

Stay current with the latest trends and developments in MLOps, ML, and AWS technologies, sharing knowledge and contributing to the continuous improvement of our team and processes

Bachelor's or master’s degree in Computer Science, Engineering, or a related field

5+ years of experience in MLOps, DevOps, Data Science or a similar role

Strong knowledge of AWS services, particularly in the context of machine learning and data processing (e.g., SageMaker, EMR, Lambda, Step Functions, S3, Athena, Glue) as well as Snowflake

Experience with ML frameworks such as TensorFlow, PyTorch, andscikit-learn

Experience working with Apache Spark.

Experience with IaaC tools like Terraform

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!