Staff AI Engineer at Airwallex designing and deploying intelligent financial automation systems. Utilizing AI frameworks and collaborating across teams for innovative production solutions.
About the role
- Senior AI Engineer leading design, development, and deployment of AI/ML solutions for Seco. Collaborating with stakeholders to improve AI strategy and drive scalable adoption of AI technologies.
Responsibilities
- Leading the design, development, and deployment of AI/ML solutions to deliver measurable business value
- Partnering with stakeholders to define solution approaches, from traditional ML use cases to GenAI applications
- Designing and implementing reusable assets, components, and infrastructure to support AI/ML and GenAI workloads
- Developing RAG pipelines, copilots, and conversational AI solutions
- Collaborating with DevOps/MLOps Engineers to build robust pipelines for training, deployment, monitoring, and retraining
- Ensuring compliance with governance, data privacy, and ethical AI standards
- Mentoring junior engineers and contributing to internal capability building
- Staying ahead of AI/ML and GenAI trends, evaluating new methods, frameworks, and tools for adoption
Requirements
- Proven hands-on experience in designing, deploying, and maintaining AI/ML solutions in production environments
- Strong skills in Python and familiarity with frameworks such as TensorFlow, PyTorch, and scikit-learn
- Experience working with lakehouse architectures, ideally on Databricks
- Solid understanding of data engineering practices and feature pipeline development
- Familiarity with Azure AI services, Microsoft Copilot Studio, or GenAI frameworks
- Strong foundation in classic ML and data science workflows
- Applying MLOps principles across the full model lifecycle
- Using CI/CD, testing, and version control platforms such as MLflow
Benefits
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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