Senior AI Data Platform Engineer

JOB DESCRIPTION

ML Data Platform Engineering & Administration
Install, configure, and maintain ML data platforms on top of Kubernetes, Object Storage, Cassandra, Postgres and related technologies
Monitor platform performance and optimize as needed for reliability and efficiency
Platform Configuration and Maintenance
Implement and manage platform configurations, ensuring adherence to best practices and security standards
Regularly update and patch systems to maintain security and stability
Collaborate with Cross-Functional Teams
Work closely with ML and data engineers and other roles to align IT needs and strategies
Provide expert guidance on ML data platform best practices and optimization
Troubleshoot and Resolve Technical Issues
Identify, diagnose, and resolve data platform problems in a timely manner
Escalate complex issues to upper-level support when necessary
Backup and Recovery Management
Implement and maintain backup and recovery strategies for data platforms, ensuring data integrity and availability
Maintain and Update Documentation
Create and maintain documentation related to data platform administration, configuration, and maintenance
Share knowledge with team members and contribute to a culture of continuous learning
Enhance Data Security and Compliance
Ensure data platforms adhere to security best practices and comply with relevant regulations
Stay up-to-date on industry trends and evolving security standards
Drive Continuous Improvement
Evaluate and implement new technologies and techniques to enhance data platform performance and administration
Proactively identify areas for improvement, prepare plan for implementation and get support from management and development teams
Always prefer automation and code-first approach over hard to reproduce manual tasks

JOB REQUIREMENT

A degree in computer science, software engineering, information technology or related fields is preferred Production use experience with AI agents (like Langchain, Agno) and LLM stack (like KServe, vLLM, pgvector)
At least 3 years of experience in data platform (Kafka, Spark, Airflow, Flink, KServe, MLFlow, Lakekeeper) and related infrastructure installation, administration, patching and automation (Linux, Ansible, Helm, Terraform, Kubernetes, Ceph)
Continuous improvement mindset covering daily operations, stability, reliability and performance of ML data platforms
Knowledge of key concepts like infrastructure-as-code, templates, playbooks, code versioning using GIT, CI/CD automation, high availability, disaster and recovery
Proficient in Linux Shell, Python scripting, configuration using JSON, YAML files
Ability to troubleshoot infrastructure, analyze logs and setup/update monitoring dashboards and metrics, describe and document root cause, attend retrospective meetings
Understand IT systems documentation, data flow diagrams, integration diagrams and related terminology (UML)
Understand major ML data platforms concepts - LLM, RAG, agent, quantization, finetuning, Data Lake, ACID, Distributed Query, Feature Store, Data Governance, Data
Catalogue, Streaming, Batch, Parquet
Proficient in using documentation (Markdown, Visio, Office 365) and communication tools (MS Teams)
Proficient user of change management and support ticket/service desk tools (JIRA SD)

WHAT'S ON OFFER

13th Salary Fixed and KPI Bonus
Premium Health Care program
24/7 Accidental Insurance
100% Social Insurance
Meal + Phone Allowance
Yearly Medical Checkup
Professional and Transparent Working Environment
Apply Latest Financial Technology in the World

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J02261

Status:

Active

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