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

Job ID:

J01644

Status:

Close

Related Job:

Data and Insights Manager

Ho Chi Minh - Viet Nam


Product

  • Data Analyst
  • Business Intelligence
  • Data Science
  • Machine Learning

Oversee the data and information system to ensure adequacy, accuracy, and legitimacy of data products such as reports, insights, analytics tools, and models. Implement and oversee data governance and policies. Communicate data visions and strategies across functions and business units. Anticipate upcoming trends and business demands to propose impactful data deliverables. Oversee the pipeline to deliver high-quality, timely, and useful data to enable data usability, availability, and efficiency on the Information System (BI, Reportings, Dashboard). Ensure excellence in performing data ad-hoc requests. Identify analytics opportunities to support the growth of the organization. Develop analytics capacities through data and data science techniques, mastering knowledge about customers, products, and the business. Drive data-empowered innovations through ML/AI to improve the efficiency and quality of business and products. Raise awareness of the potential application of ML/AI. Provide data, ML/AI learnings, and strategic input to business visions and projects. Design the framework of AI/ML building, testing, and deployment at a large scale. Ensure the quality and efficiency of ML/AI deliverables.

Negotiation

View details

Engineering Manager (ERP)

Ho Chi Minh - Viet Nam


Outsource

  • .NET
  • NodeJS
  • ReactJS
  • Typescript
  • Devops
  • Azure

Discussing the requirements with the team and breaking them down into epics and Jira tasks. Facilitating estimations with the team and capturing them on corresponding Jira items. Tracking progress, ensuring the team stays on plan, and keeping it up to date in Jira. Providing technical leadership and mentoring the engineering team. Conducting regular 1:1s, performance conversations, goal setting, and supporting personal development plans. Owning team delivery, including sprint planning, backlog refinement, and the removal of blockers. Acting as the primary point of contact for Product Management, Release Management, and stakeholders on technical matters. Assisting in interviewing candidates and helping build out the engineering team. Fostering a culture of quality, security, and continuous improvement within the team. Active development and code ownership across the stack - C#/.NET services and React/TypeScript frontends Owning the technical direction of Managed ERP Hosting and the Documents Archive Solution Defining and evolving the technical architecture, driving the roadmap for cloud transformation, and test automation Evaluating and adopting AI-assisted development tools to accelerate team productivity. Championing secure-by-design practices and maintaining high-quality code across the entire stack. Providing hands-on incident response and on-call escalation support together with the team.

Negotiation

View details

Engineering Manager – Shop 6.0

Ho Chi Minh - Viet Nam


Outsource

  • Management
  • Backend
  • Frontend
  • Devops
  • Azure

Lead and manage the technical and organizational aspects of delivering Shop 6.0 across frontend, backend, and infrastructure Coordinate parallel workstreams including frontend, backend, DevOps, and QA to plan and execute delivery scope, milestones, and releases Collaborate with senior engineers to make key architectural decisions, particularly regarding microservices, APIs, and cloud-native implementation on Azure Identify and address risks related to integration, scalability, and technical dependencies, especially around ERP Cloud connection Act as the primary point of contact for stakeholders on scope, prioritization, and timelines Ensure code quality through reviews, mentoring, and clear standards, including a pull request process with mandatory checks and senior/lead review Provide transparency on progress, risks, and decisions to the team and management Recruit, lead, develop, and retain a team of 6 engineers, consisting of 4 backend and 2 frontend roles

Negotiation

View details