Senior AI Data Platform Engineer

ABOUT CLIENT

Our client is a global consumer finance company that provides easy and accessible financial solutions for people who need it

JOB DESCRIPTION

Administer ML data platforms by installing, configuring, and maintaining them on Kubernetes, Object Storage, Cassandra, and Postgres
Monitor platform performance and optimize for reliability and efficiency
Configure and manage platforms, ensuring adherence to best practices and security standards
Update and patch systems regularly to maintain security and stability
Collaborate with cross-functional teams, providing guidance on platform best practices and optimization
Identify, diagnose, and resolve data platform problems in a timely manner
Implement and maintain backup and recovery strategies for data platforms
Create and maintain documentation related to data platform administration, configuration, and maintenance
Ensure data platforms adhere to security best practices and comply with relevant regulations
Evaluate and implement new technologies and techniques to enhance data platform performance and administration
Proactively identify areas for improvement and prefer automation and code-first approach over manual tasks.

JOB REQUIREMENT

Preferably holds a degree in computer science, software engineering, information technology or related fields. Experience with AI agents (e.g., Langchain, Agno) and LLM stack (e.g., KServe, vLLM, pgvector) for production use is desirable.
At least 3 years of experience in data platform (Kafka, Spark, Airflow, Flink, KServe, MLFlow, Lakekeeper) and associated infrastructure including installation, administration, patching, and automation (Linux, Ansible, Helm, Terraform, Kubernetes, Ceph).
Requires a continuous improvement mindset focusing on daily operations, stability, reliability, and performance of ML data platforms. Knowledge of key concepts such as infrastructure-as-code, templates, playbooks, code versioning using GIT, CI/CD automation, high availability, disaster and recovery is also expected.
Proficiency in Linux Shell, Python scripting, and configuration using JSON, YAML files is necessary. Should be able to troubleshoot infrastructure, analyze logs, and set up/update monitoring dashboards and metrics, as well as describe and document root cause, and attend retrospective meetings.
Understanding of IT systems documentation, data flow diagrams, integration diagrams, and related terminology (UML) is required. Also, should have an understanding of major ML data platforms concepts such as LLM, RAG, agent, quantization, finetuning, Data Lake, ACID, Distributed Query, Feature Store, Data Catalogue, Streaming, Batch, and Parquet.
Proficiency in using documentation tools like Markdown, Visio, Office 365, and communication tools like MS Teams is necessary. Additionally, proficiency in change management and support ticket/service desk tools (JIRA SD) is required.

WHAT'S ON OFFER

Guaranteed 13th salary and KPI bonus
Comprehensive health care coverage
24/7 accidental insurance
Full social insurance coverage
Meal and phone allowance
Yearly medical checkup
15 days of annual leave
Professional and transparent work environment
Utilize cutting-edge financial technology

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:

Data Engineering, Devops, AI

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J02261

Status:

Active

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