AI/MLOps & Data Engineering Lead

ABOUT CLIENT

Our client is a big fintech company from Japan

JOB DESCRIPTION

We are in need of an AI/MLOps & Data Engineering Lead who possesses strong AI and Data skills. Suitable candidates will join a dynamic and proficient team to improve the quality of products serving a large customer base.
Key responsibilities include:
Developing and overseeing cross-company data infrastructure
Managing data integration and pipelines
Collecting data from different internal sources into a data lake
Distributing collected data to analysis and ML platforms
Establishing and managing data analysis infrastructure
Optimizing DWH performance
Ensuring data quality.

JOB REQUIREMENT

Educational background
Completed studies at a university/college in Vietnam
Major in mathematics, computer science or related field
 
Technical skill
AI software development
Experienced in developing AI algorithms or understanding their foundational principles
Developed an Application Programming Interface [API] as an internet service
Operated and manipulated API services using appropriate software
Measured performance using metrics software
Controlled and tuned accuracy through data operation
Data engineering
Development experience with Python and SQL (BigQuery preferred)
Experience in development and operation using AWS and Google Cloud or similar platforms
Tools
Configuration management: Terraform
CI/CD: GitHub Actions
Monitoring and logging: Datadog, Cloud Monitoring, CloudWatch
Project management: JIRA Cloud, Miro
Documentation: Kibela, Google Workspace
Spark: 2-3 years of experience
Airflow: 1 year (user role, not administrator)
Cloud architecture
Experienced in system development using cloud services on AWS, GCP or Azure (AWS preferred)
Understanding of cloud service components from an architectural perspective
Designed and integrated systems with appropriate security
Human skill
Experience in Project Manager [PM] or Product Manager [PdM] roles
Worked as a Data engineer lead of a team of at least 2 members for a period of time
Communication skill
Open-minded
Capable of understanding requirements and their purpose
Proficient in English (IELTS 7, TOEIC 800 or equivalent)

WHAT'S ON OFFER

Benefits for Employees:
Employees have the flexibility to work two days in the office and three days from home
Work hours are flexible, with the option to start between 8AM-9AM from Monday to Friday
Full salary during the probation period
Eligibility for various insurance benefits, including social, health, and unemployment insurance, as well as private health and accident insurance
Additional perks such as a 13th-month salary, 16-24 paid days off, and paternity leave
Opportunities for annual company trips, quarterly team building activities, and participation in billiards and running clubs
Access to an annual health check and well-equipped facilities, including a MacBook Pro and additional monitor
Career Growth and Development Support:
Clearly defined career paths for employees
Sponsorship for foreign language and international technology-related certifications
Access to both internal and external training courses, soft-skill workshops, and tech seminars
Recognition awards and biannual performance and salary reviews (in June and December)

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

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01644

Status:

Close

Related Job:

Platform Lead

Others - Singapore

Product

  • Backend
  • Devops
  • Data Engineering

Architect and scale distributed systems that handle petabytes of sensory, telemetry, and control data across cloud and edge environments, connecting fleets of robots in real time. Design and build the API Platform, delivering high reliability, world class developer experience, and production grade multimodal AI capabilities via intuitive APIs and SDKs. Build large scale training and inference platforms for multimodal foundation models powering robot autonomy, teleoperation, and developer integrations. Design data ingestion and streaming pipelines connecting robot fleets to the cloud in real time, covering video, LiDAR, joint states, and audio. Manage and evolve a modern cloud native infrastructure stack using Kubernetes, Docker, and infrastructure as code tooling. Ensure platform reliability through telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery mechanisms. Lead infrastructure decisions spanning distributed storage, consensus protocols, GPU orchestration, network reliability, and API security. Collaborate across ML, robotics, and product teams to support hardware in the loop simulation, policy rollout, continuous learning, and CI/CD workflows. Implement secure APIs with fine grained access control, usage metering, rate limiting, and billing integration as we scale to serve millions of users.

Negotiation

View details

Senior System Software Engineer - AI Data Platform - Inference Factory

Ho Chi Minh - Viet Nam

Product

  • Devops
  • C/C++
  • Python
  • Golang

Create infrastructure and tools to automate complex software processes effectively. Improve performance: Deploy advanced test harnesses, benchmarking frameworks, and analytical tools to thoroughly evaluate and enhance the performance and efficiency of software and hardware platforms. Utilize expertise in operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to construct and troubleshoot high-performance systems. Collaborate with engineering teams to comprehend requirements and deliver efficient solutions. Establish performance objectives, assess feedback, analyze data, and continually enhance system reliability. Shape technical strategies: Contribute to developing technical strategies and roadmaps for platform automation initiatives to ensure they are in line with company goals and industry best practices.

Negotiation

View details

Software Engineer, Metropolis Vision AI

Ho Chi Minh - Viet Nam

Product

  • C/C++
  • Python
  • AI

Developing advanced Metropolis Vision AI pipelines using computer vision and deep learning models for real-time and streaming applications. Building distributed services to process video, image, and 3D data in both edge and cloud environments. Enhancing multi-modal perception capabilities to understand complex real-world scenes by combining 2D, 3D, and temporal information. Utilizing simulation and synthetic data tools for building, testing, and validating perception algorithms at scale. Optimizing GPU-accelerated inference pipelines to meet specific latency, efficiency, and reliability requirements. Working with partner teams on technical implementations. Contributing to technical reviews and guidelines for code quality and testing.

Negotiation

View details