Home Credit Vietnam

Tóm tắt công việc

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By submitting this application to Home Credit Vietnam Finance Company Limited through ITviec, you agree to allow Home Credit to proceed your provided information in accordance with Personal Data Processing Agreement that you have read, fully understood and agreed to the entire content at link

KEY RESPONSIBILITIES

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

• 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

• 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, fine-tuning, 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)