Machine Learning Engineer

This leading Southeast Asian technology company is committed to driving economic empowerment through its innovative platform. It offers a diverse range of services, including ride-hailing, food delivery, and financial solutions, all designed to improve daily life and create opportunities for individuals and businesses. Guided by core principles emphasizing collaboration, continuous learning, and integrity, the organization has become a key player in fostering connectivity and innovation across the region. With a strong focus on leveraging technology to address local needs, it aims to build a more inclusive and sustainable future for millions.

• • Develop AI Infrastructure Solutions

    • Collaborate with the ML Platform team to design and implement scalable infrastructure for distributed data processing and model training.
    • Utilize GitOps practices to maintain reproducibility across Kubernetes clusters.

  • Build Monitoring and Alerting Systems

    • Develop and integrate observability solutions using tools like Datadog, Prometheus, and Grafana.
    • Create runbooks and DevOps guides to streamline operations.

  • Support Distributed Computing Framework Adoption

    • Assist data science teams in leveraging distributed computing frameworks such as Ray for scalable workloads.
    • Advocate for best practices and provide technical support for cluster utilization.
• Strong expertise in ML-Ops, with experience in distributed computing frameworks (e.g., Ray, Dask, Modin, Beam, or Horovod).
• Proficient in Python and familiar with machine learning tools and ecosystems.
• Hands-on experience with Kubernetes, including GitOps tools (e.g., ArgoCD) and configuration management solutions like Helm and Kustomize.
• Solid DevOps background, with knowledge of Infrastructure as Code (e.g., Terraform).
• Excellent written and verbal communication skills to support cross-functional collaboration

Susmita Sahu
Direct Line: 6697 7886
EA License No: 91C2918
Personnel Registration Number: R23114076