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Vingroup · Hồ Chí Minh
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VinSmart Future
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Thành phố Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • We're looking for an MLOps Engineer to own the data and ML platform that powers our production scoring systems, real-time services, and cross-team data integrations. You'll manage the data platform (governance, access control, compute), build and deploy the APIs and real-time systems that serve models and data in production, and run all of it on AWS.
  • This role is a strong fit for someone who thinks in systems, is comfortable owning infrastructure decisions end to end, and enjoys working with both engineering teams and business/data stakeholders.
  • Data Platform Administration
  • Administer the organization's data platform (e.g., a lakehouse or warehouse environment): manage access control, workspaces/environments, and compute resources
  • Own data governance: catalogs/schemas, permissions, and isolation of sensitive data from general access
  • Define compute and job policies to balance cost and performance
  • Build and maintain CI/CD pipelines for data and infrastructure changes across dev/staging/prod
  • Real-Time Systems & API Deployment
  • Design and deploy production APIs on AWS (e.g., API Gateway, Lambda, or containerized services) that serve models and data to internal and external consumers
  • Build real-time and event-driven data flows using streaming platforms (e.g., Kafka) and low-latency stores (e.g., DynamoDB)
  • Ensure these systems are scalable and observable in production: define monitoring, alerting, and incident-response runbooks, and manage the underlying cloud networking and access control needed to keep them running reliably
  • Model Deployment & MLOps
  • Deploy, version, and monitor production model-serving APIs used by internal and external systems
  • Maintain the data pipelines that feed these models, with monitoring for pipeline health and data freshness
  • Coordinate production releases with minimal downtime
  • Data Integration & Delivery
  • Design how data and predictions are delivered to different consumers: self-service query access, scheduled exports, real-time APIs, and governed sharing with external partners
  • Partner with data science and business teams to choose the right integration pattern for each use case, prioritizing governed, repeatable solutions over ad hoc data transfers
  • Cost & Governance
  • Track cloud and platform usage/cost, identify savings opportunities, and enforce tagging and budget policies

Yêu cầu

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
  • Experience administering a modern data platform (e.g., Databricks, Snowflake, BigQuery, or similar) — access control, compute/cluster management, governance
  • Hands-on experience building and deploying APIs and services on AWS (e.g., Lambda, API Gateway, ECS, or similar)
  • Experience with real-time/streaming systems (e.g., Kafka, Kinesis) and low-latency data stores (e.g., DynamoDB)
  • Working knowledge of cloud networking and access control (VPCs, IAM) sufficient to run production services securely
  • Proficiency in Python and SQL/Spark for automation and data pipelines
  • Experience with CI/CD practices for data or ML systems
  • Understanding of MLOps concepts: model deployment, versioning, and monitoring
  • Hands-on experience with Databricks (Unity Catalog, cluster policies, Databricks Asset Bundles) or an equivalent lakehouse platform
  • Experience with MLflow or similar model registry/serving tools
  • Experience with data-sharing architectures for cross-team or cross-company data exchange (e.g., Delta Sharing)
  • Relevant cloud or platform certifications (e.g., AWS, Databricks)

Quyền lợi

  • Flexible working hours and attendance policy (Work from Home on working Saturdays).
  • Attractive compensation and bonus packages, highly competitive in the market.
  • Exclusive employee benefits across the Group’s ecosystem in accordance with company policies.
  • Opportunity to work on large-scale and strategic technology projects.
  • Professional technology environment with leading scientists, experts, and engineers from top technology companies in Vietnam and around the world.
  • Free access to learning platforms such as Udemy, Coursera, and O’Reilly; internal workshops; sponsorship for professional certifications; and exclusive mentoring programs from the Group and Company leadership team.
  • Full statutory insurance coverage in accordance with Vietnamese Labor Law (Social Insurance, Health Insurance, Unemployment Insurance), along with private healthcare insurance based on job grade and annual health check-ups at reputable hospitals and healthcare centers nationwide.
  • Participation in internal activities, team-building programs, and annual company events.
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