Cloud Native MLOps Expert

1 week ago


Singapore PATSNAP PTE. LTD. Full time

About the Team:

We are a multidisciplinary team of experts dedicated to delivering AI-driven solutions that transform businesses. Our team consists of experienced data scientists, ML engineers, software developers, and operations professionals who share a passion for innovation and excellence.

About the Role:

We are seeking a seasoned Machine Learning Operations Engineer to join our team and contribute to the development and deployment of AI-driven solutions. As an ideal candidate, you will have extensive experience with MLOps platforms, a strong background in cloud services, and proficiency in containerization and infrastructure as code.

Responsibilities and Qualifications:

  • Design, build, and maintain scalable ML model deployment pipelines for real-time and batch inference.
  • Manage and optimize cloud-based ML infrastructure, ensuring high availability and cost efficiency.
  • Implement monitoring, logging, and alerting systems for ML models in production to track performance, data drift, and anomalies.
  • Automate model training, evaluation, and deployment processes using CI/CD pipelines.
  • Ensure compliance with MLOps best practices, including model versioning, reproducibility, and governance.
  • Collaborate with data scientists, ML engineers, and software developers to streamline the transition of models from development to production.
  • Optimize model serving infrastructure using Kubernetes, Docker, and serverless technologies.
  • Improve data pipelines for feature engineering, data preprocessing, and real-time data streaming.
  • Research and implement tools for scalable AI development, such as Retrieval-Augmented Generation (RAG) and agent-based applications.

Benefits:

  • A competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • A collaborative and dynamic team environment.
  • Access to cutting-edge MLOps and AI deployment technologies.


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