Type
Full-time
Work mode
On-site
Level
Staff
Industry
Other
Department
VinSmart Future
Salary
Thương lượng
Location
Thành phố Hồ Chí Minh, Hồ Chí Minh
Overview
- 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
Requirements
- 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)
Benefits
- 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.
BonusHealthcare
Summary of facts from the official posting. View original ↗
Interested in this role?
You'll be taken to the employer's official application page.
Apply on official site ↗
Is this your business?
Claim this page, request edits or removal
→