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[Data Engineer] Senior

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[Data Engineer] Senior in Others new

  • Bangkok, Thailand

Responsibilities

  • Lead the design, development, and implementation of on-premises MLOps solutions for machine learning model delivery.
  • Build scalable data pipelines and model training and deployment systems with data scientists and software engineers.
  • Develop and maintain monitoring and management tools for MLOps infrastructure reliability and performance.
  • Work with organizational stakeholders to understand machine learning needs and develop suitable MLOps solutions.
  • Troubleshoot and debug user issues.
  • Stay current with MLOps, machine learning, and artificial intelligence technologies and share knowledge with the team.
  • Mentor junior team members and support their growth in MLOps.

Requirements

  • At least 5 years of experience in MLOps, software engineering, data engineering, or a related field.
  • Strong programming skills in Java, Scala, Python, or Kotlin.
  • Hands-on Kubernetes experience deploying and operating workloads, debugging pod failures, and working with Deployments, ConfigMaps, Secrets, Services, and resource limits.
  • Strong communication and collaboration skills and the ability to work effectively in a team environment.
  • Value code simplicity and performance.
  • Preferred: understanding of the machine learning project lifecycle.
  • Preferred: experience with Kubeflow or MLflow.
  • Preferred: experience with scikit-learn, LGBM, TensorFlow, or PyTorch.
  • Preferred: experience with Spark, S3, or Hadoop.
  • Preferred: strong knowledge of Docker and Kubernetes.
  • Preferred: experience with DevOps and CI/CD practices.
  • Preferred: experience building and scaling model-serving tools and APIs with tight SLAs.
  • Preferred: experience designing and building MLOps infrastructure, including data pipelines, model training and deployment systems, and monitoring tools.

Benefits

  • Bangkok-based position with relocation provided.
  • The posting is tagged as hybrid.

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