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.
About the team you are joining
Reporting to the Head Data Operations and Engineering, the Senior MLOps Engineer will be responsible for the implementation and delivery of the MLOps strategy at corporate level, 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.
What your day would be like
Design, implement, and maintain
scalable and efficient ML pipelines, leveraging AWS SageMaker, Google Cloud
Vertex AI and beyond.
Collaborate with data scientists to deploy and monitor ML models in a containerized
environment, ensuring high availability and optimal performance.
Mentor and coach data scientists
when it comes to implementing MLOps and
general software development best practices.
Assist data science teams on their
MLOps journey, making sure they have the right skills and tools to get to the
next level.
Advance IATA’s MLOps roadmap through
hands on work but also through vision and advocacy at all levels of the
organization and beyond.
Assist the implementation of IATA’s
core GenAI platform with insights into prompt engineering, response accuracy
and operational considerations and others.
Implement and maintain CI/CD pipelines for ML workflows, including automated
testing, versioning, and deployment of ML models
Monitor and optimize the performance and cost of running ML models, identifying
opportunities for improvement, savings 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, AWS, Google
Cloud and other platforms, sharing knowledge and contributing to the continuous
improvement of our team and processes
Motivate
direct reports by providing feedback, coaching and skills development.
We would love to hear from you if
Advanced degree in Computer Science,
Engineering, or a related field
8+ years of experience in MLOps, DevOps, Data Science or a similar role
Strong knowledge of AWS and Google Cloud services in the context of machine
learning and data processing
Strong stakeholder management skills, ability to shape and influence technical
conversations with peers and not only.
Strong coaching and mentorship
skills, ability to help ML engineers and data scientist grow their technical
skills.
Experience with modern ML frameworks
Experience
with IaC tools like Terraform
Proficiency with SQL, Python
Experience with CI/CD pipelines and tools
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!
