[Data Engineer] Senior / Staff MLOps Engineer (Bangkok Based, relocation provided)
Core
Lead the design, development, and implementation of on-premises MLOps solutions that support the delivery of machine learning models.
Role type
Senior/Staff MLOps Engineer
Builds
Scalable and efficient data pipelines, model training and deployment systems, and monitoring tools for ML workflows
Domain
Travel technology, Machine Learning Operations, Cloud Infrastructure
Deliverable
production ML models
Required skills
Kubernetes, Python, Java, Scala, Docker, CI/CD, Data Pipelines, Model Monitoring, Troubleshooting
Preferred skills
Kubeflow, MLFlow, TensorFlow, PyTorch, Spark, Hadoop, Model Serving APIs, MLOps Infrastructure Design
Technologies
Kubernetes, Kubeflow, Docker, Python, Java, Scala, Spark, TensorFlow, PyTorch, MLFlow, Hadoop, S3
Responsibilities
Lead design and implementation of on-premises MLOps solutions; Collaborate with data scientists and engineers to build scalable pipelines; Develop and maintain monitoring and management tools; Mentor junior team members; Troubleshoot and debug user issues
Seniority
Senior/Staff, hands-on IC
