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:

AI Product Builder

Ha Noi - Viet Nam

Product

  • AI
  • Backend
  • Frontend
  • Devops
  • Java
  • Golang
  • Product Management

Collaborate with domain experts to develop business requirements and constraints for designing prompt AI-assisted workflows and system specifications. Utilize AI tools, no-code/low-code, and coding to rapidly prototype UI/UX mockups and foundational implementations. Test prototypes through hypothesis validation cycles and provide detailed handovers to engineering teams. Decode legacy specifications and enhance existing products with AI-assisted analysis and implementation. Constantly enhance the product team's building-tooling, templates, and practices to adapt to changes in models and platforms.

Negotiation

View details

Head of Engineering

Ho Chi Minh - Viet Nam

Product

  • Dynamics CRM
  • Dynamics 365 FO
  • Power Platform

Ensure high performance of core system and other Technology Services. Meet business requirements and project requests. Consult and implement new technology to enhance business productivity. Evaluate and expand mass scale deployment for business transformation. Stay updated on tech trends, experiment with new technologies, and engage in internal and external technology communities. Provide leadership, mentorship, and management to team members for their development. Encourage team members to share their opinions and ideas to enhance team performance. Analyze root causes and define areas for process improvement across all functions. Propose and drive solutions to minimize complexities and optimize business operations. Develop creative solutions to complex technical and process problems. Review existing work processes and identify opportunities for continuous efficiency improvements.

Negotiation

View details

Marketing Lead/ Lead UA

Ha Noi - Viet Nam

Product

  • Marketing

Taking ownership of the marketing P&L for the game portfolio (IAA & IAP) Developing tailored UA strategies for each monetization model Identifying market opportunities, target audiences, and scaling roadmaps Planning, executing, and optimizing UA campaigns across various platforms Managing UA budgets and ensuring optimal ROI Optimizing key metrics and ensuring strong UA performance Planning and leading creative strategy Collaborating with production teams to build efficient creative pipelines Optimizing store listings through A/B testing and scaling creative production Demonstrating proficiency in campaign tracking tools, analyzing data, and making timely optimizations to improve CPI, ROAS, and LTV Advising stakeholders on data-driven decision making Collaborating with Product teams to optimize ad frequency, ad placement, pricing, offers, and in-game economy Ensuring alignment between UA and monetization to maximize LTV Analyzing markets, trends, competitors, and industry benchmarks Conducting market research reports Allocating resources, establishing KPIs, and managing team performance Training, mentoring, and developing the team Building a culture that is data-driven, testing-first, and ownership-focused

Negotiation

View details