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ML Platform Engineer [Exp with Cloudera CDP ecosystem] - D04 Harbourfront,Telok Blangah, Sentosa Island, SG

ML Platform Engineer [Exp with Cloudera CDP ecosystem] - D04 Harbourfront,Telok Blangah, Sentosa Island, SG

LUXOFT INFORMATION TECHNOLOGY (SINGAPORE) PTE. LTD.D04 Harbourfront,Telok Blangah, Sentosa Island, SG
3 days ago
Job description

Roles & Responsibilities

Project Description : We are seeking a skilled ML Platform Engineer, responsible for automating, deploying, patching, and maintaining our machine learning platform infrastructure. You need to have hands-on experience with Cloudera Data Science Workbench (CDSW), Cloudera Data Platform (CDP), Docker, Kubernetes, Python, Ansible, GitLab, and MLOps best practices.

Responsibilities :

  • Automate deployment and management processes for machine learning platforms using tools such as Ansible and Python.
  • Deploy, monitor, and patch ML platform components, including Cloudera Data Science Workbench (CDSW), Docker containers, and Kubernetes clusters.
  • Ensure high availability and reliability of ML infrastructure through proactive maintenance and regular updates.
  • Develop and maintain comprehensive documentation for platform configurations, processes, and procedures.

Troubleshoot and resolve platform issues, ensuring minimal downtime and optimal performance.

Implement best practices for security, scalability, and automation within the ML platform ecosystem.

Mandatory Skills Description :

  • DevOps / Platform Engineers with Cloudera or Azure, along with Python and ML.
  • Hands-on experience with CDSW (Cloudera Data Science Workbench) or similar ML / AI platforms.
  • Strong expertise in containerization and orchestration using Docker and Kubernetes (AKS preferred).
  • Proficiency in Python programming (enterprise-level applications, automation, and scripting).
  • Experience with Ansible for infrastructure as code (IaC), deployment automation, and configuration management.
  • Strong knowledge of Unix / Linux systems (administration, troubleshooting, performance tuning).
  • Practical experience with GitLab for source control and CI / CD pipeline automation.
  • Deep understanding of MLOps principles and best practices (deployment, monitoring, lifecycle management of ML workloads).
  • Experience in designing, developing, and maintaining distributed systems and services.
  • Proven ability in patching, updating, and maintaining platform infrastructure.
  • Nice-to-Have Skills Description :

  • Previous banking domain Experience.
  • Familiarity with Cloudera CDP ecosystem (beyond CDSW).
  • Knowledge of monitoring & observability tools (Prometheus, Grafana, ELK).
  • Exposure to Airflow, MLflow, or Kubeflow for workflow and ML lifecycle orchestration.
  • Cloud platform experience with Azure (AKS, networking, storage, monitoring).
  • Tell employers what skills you have

    cloudera

    Workbench

    Airflow

    Scalability

    Kubernetes

    Azure

    High Availability

    Cloud Storage

    Distributed Systems

    Configuration Management

    Containerization

    Performance Tuning

    Docker

    Data Science

    Ansible

    Orchestration

    Python Programming

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    Platform Engineer • D04 Harbourfront,Telok Blangah, Sentosa Island, SG

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