MLOps/ DevOps Engineer

Job 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.

Key Responsibilities:

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

• Bachelor's or

Yêu cầu công việc

• 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

Preferred Qualifications

• 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

• Chăm sóc sức khoẻ: • Exclusive employee benefits across the Group’s ecosystem in accordance with company policies.
• Máy tính xách tay: • Professional technology environment with leading scientists, experts, and engineers from top technology companies in Vietnam and around the world.
• Khác: • Professional technology environment with leading scientists, experts, and engineers from top technology companies in Vietnam and around the world.