MLOps Engineer

JOB DESCRIPTION

Be a part of building the ideal data and ML/AI ecosystem from scratch. Spearheaded the integration of the latest capabilities to enhance customer experiences and transform business operations. Embrace the vision of democratizing ML/AI technology, making it accessible to all by establishing robust engineering standards, simplifying complexities, and designing effective controls and guardrails. This leadership role goes beyond conventional boundaries, empowering you to lead and innovate across many aspects of our data enablement value stream.
Your role as an MLOps Engineer will be similar to a DevOps engineer, with a stretched focus on productionizing Machine Learning features:
Design and implement scalable AI solutions that enables data engineers and ML scientists to train, build, and maintain machine learning models effectively.
Develop automated processes for continuous model training and evaluation pipelines specifically for ML applications.
Ensure the seamless integration of Company Plus's current architecture with newly added ML functionalities, enhancing overall system capabilities.
Collaborating with diverse stakeholders including business partners, risk, legal, and security teams, as well as UX designers and architects to define and implement robust validation and verification strategies
Fostering a culture of quality coding practices, including test-driven development, unit testing, and secure coding awareness
Focus on business practicality and the 80/20 rule, aiming for a high bar for code quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"

JOB REQUIREMENT

To grow and be successful in this role, you will bring extensive analytical and technical skills, business acumen and natural curiosity to deliver on product investigations and analysis and support initiatives through insights.
You will ideally bring the following:
Proficiency in one of the scripting/programming languages (Python).
Experience in building data products using GCP/ AWS technologies.
Experience with containerization, Terraform, and GitOps principles for automation and deployment.
Strong background in ML concepts and applications and in-depth knowledge of MLOps best practices.
Agile development mindset, appreciating the benefit of constant iteration and improvement.
Have experience in addressing Tech Debt with minimizing production incidents.
Familiarity with RAG architectures and/or have a good understanding of their application.

WHAT'S ON OFFER

Attractive package including fixed 13-month salary and variable performance bonus
Insurance plan based on full salary
100% full salary and benefits as an official employee from the 1st day of working
Medical benefit (private insurance) for employee and their family
18 paid leaves/year (12 annual leaves and 6 personal leaves)
Working in a fast-paced, flexible, and multinational working environment.
Chance to travel for business trip in foreign countries
Free snacks, refreshment, and parking
Career development in a giant tech hub just entering Vietnam market, with very challenging project
Hybrid working mode, flexible time (3 days in office per week)

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:

Outsource

Technical Skills:

Machine Learning, Devops, Data Science, Python, Java

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01554

Status:

Close

Related Job:

Senior/Middle QA Engineer

Ho Chi Minh - Viet Nam

Product

  • Automation Test
  • Playwright
  • Typescript
  • Selenium
  • Java

Develop and maintain automation test scripts using tools like Playwright with Typescript, Selenium with Java, and API service testing with Rest API using Playwright. Execute API performance testing scenarios using JMeter. Work with various technologies such as SQL, MongoDB, Atlast MongoBD, CI/CD Jenkins, Docker, AzureDevOps, and AWS for test automation. Store and maintain source code in GitHub for automation scripts. Participate in various meetings and product backlog reviews to understand test objectives and provide input on testability of requirements. Contribute to reducing manual testing efforts by increasing automation testing coverage and designing test cases and automation scripts. Collaborate with the project team to understand project objectives, gather automation requirements, design automated tests, and troubleshoot issues. Maintain and fix automation test scripts and report issues in the defect management system. Engage in manual testing where necessary. Participate in meetings and product backlog reviews to understand test objectives, provide input on testability of requirements, and estimate testing activities. Develop automation test scripts to reduce manual testing and increase automation testing coverage. Collaborate with the project team to understand project objectives, gather automation requirements, design automated tests, and troubleshoot issues. Maintain and fix automation test scripts, and report issues in the defect management system. Report defects/bugs in the defect tracking management tool. Coordinate with the Agile team to provide testing results for User Stories and approve them for the next environment.

Negotiation

View details

Senior Fullstack Engineer

Ho Chi Minh - Viet Nam

Product

  • Java
  • Angular
  • Microservices
  • AWS
  • Azure

Gain a deep understanding of the enterprise data landscape and establish data flow between operational systems for our micro-service approach. Implement high-performance, scalable, and testable components for our architecture. Incorporate modern architectural patterns and techniques (microservices, DDD, TDD) while using frameworks such as Spring Boot and Spring Cloud. Create modern frontend microservices and leverage the latest version of Angular for enriching DM Storybook. Develop RESTful APIs and microservices-based solutions utilizing container technologies such as AKS, Kubernetes, and Docker. Utilize AI coding tools to expedite development and explore AI-powered insurance solutions like claim processing and recommendation engines. Uphold high engineering standards with a focus on performance and scalability. Collaborate with architects, engineers, and project teams to ensure engineering principles are met and lead change. Write clean, maintainable, and well-documented code. Effectively communicate in English, both verbally and in writing. Employ rapid prototyping techniques to accelerate time-to-market for our customers. Keep abreast of new technologies through trend scouting.

Negotiation

View details

Solution Architect (Python - Bangkok)

Others - Thailand

Outsource

  • Python
  • Blockchain

Responsibility for defining and implementing end-to-end architecture for Smart Contract solutions on Vault, including product lifecycle design, posting instructions, hooks, and version upgrade strategy Converting business requirements into scalable, maintainable financial product architectures Ensuring designs comply with banking standards, accounting rules (double-entry), and Vault's architectural constraints Managing API interactions, data models, schedules, workflows, and integration points across the digital banking ecosystem Facilitating architecture reviews, technical decision records, and risk assessments Providing architectural oversight for multiple Smart Contract development teams with an emphasis on consistency in design, code quality, and best practices Mentoring Technical Leads and Developers on Vault smart contract patterns, testing frameworks, and release governance Defining coding standards, testing strategies (unit/integration/E2E), and CI/CD structure for Smart Contract deliveries Overseeing defect triage, production issue investigation, and root-cause analysis for posting failures, schedule conflicts, and financial calculation discrepancies Acting as the technical authority in all Smart Contract discussions with clients and senior stakeholders Conducting solution workshops to clarify product logic, workflows, schedule design, fees, interest, and accounting postings Explaining architectural trade-offs and guiding clients toward scalable, compliant, and future-ready product designs Collaborating closely with Product Owners, BAs, and Delivery Managers to align expectations and delivery priorities Partnering with DevOps, QA, Infrastructure, and Security teams to ensure seamless deployment and release governance Overseeing smart contract versioning, migration plans, schedule evolution, and feature upgrade paths Ensuring observability, monitoring, and debugging practices are in place for all environments Owning delivery roadmaps, architecture backlog, sprint planning input, and risk mitigation strategies Continuously refining best practices for Smart Contract engineering and architecture Evaluating emerging Vault features, tooling, and industry trends to drive modernization Contributing to a global Smart Contract knowledge base and upskilling initiatives.

Negotiation

View details