Senior Machine Learning Engineer

ABOUT CLIENT

Our client is a global technology company that specializes in providing innovative IT solutions for the financial services industry

JOB DESCRIPTION

Creating the V1 Evaluation Platform: You will be responsible for designing and building the core backend systems for our new LLM Evaluation Platform, using Arize Phoenix as the basis for traces, evaluations, and experiments.
Implementing Production Observability: You will need to architect and implement the observability backbone for our AI services by integrating Phoenix with OpenTelemetry to establish a centralized system for logging, tracing, and evaluating LLM behavior in production.
Standardizing LLM Deployment Pipeline: You will be in charge of designing and implementing the CI/CD framework for versioning, testing, and deploying prompt-based logic and LLM configurations, ensuring reproducible and auditable deployments across all AI features.
Providing Practical Solutions: Your role will involve making pragmatic technical decisions that prioritize business value and speed of delivery, in line with our early-stage startup environment.
Collaborating with Other Teams: You will work closely with the Data Science team to understand their workflow and ensure that the platform you build meets their core needs for experiment tracking and validation.
Establishing Core Patterns: You will also help in establishing and documenting the initial technical patterns for MLOps and model evaluation that will serve as the foundation for future development.

JOB REQUIREMENT

At least 5 years of software engineering experience, particularly in backend or platform systems.
Proficiency in Python and a track record of constructing reliable, testable, and maintainable production systems.
Substantial hands-on experience in productionizing and assessing modern ML/LLM systems, including familiarity with evaluation frameworks such as Arize Phoenix, LangSmith, or similar platforms.
Practical knowledge of modern observability frameworks, particularly OpenTelemetry.
Ability to apply practical and effective solutions to problems, emphasizing robustness while avoiding over-engineering.
Hands-on expertise with Arize Phoenix for LLM observability, including the setup of custom evaluators, dataset management, and implementation of trace-based debugging.
Familiarity with core AWS services in a platform context (Kubernetes/EKS, RDS, S3, IAM).
Previous experience in a startup environment and willingness to work in a fast-paced and ambiguous setting.

WHAT'S ON OFFER

We offer a professional and enjoyable working atmosphere.
We prioritize your long-term development.
We are dedicated to creating a future-ready digital bank platform.
Competitive salary
13th-month salary guarantee
Performance bonus
Access to professional English courses
Premium health insurance
Generous annual leave allowance

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:

Information Technology & Services

Technical Skills:

Machine Learning

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01914

Status:

Active

Related Job:

Senior SAP FI Consultant

Ho Chi Minh - Viet Nam


outsourcing, Germany company

  • SAP

Lead a team of Finance specialists onsite and assist in configuring the solution (must have hands-on configuration experience). Provides guidance in the definition of solution design practices and standards that link back to SAP best practices. Understand the customer business processes and the IT landscape rapidly and able to foresee the likely challenges Ability to lead and facilitate design workshops (Blueprint), assessments, planning sessions. Work with customer business teams & project teams effectively Translates business goals into appropriate solutions while assessing feasibility and optimization of the solution. Conduct work effort estimation and develop work plans. Develops and maintains working relationships with a diverse group of business, functional and technical teams. Adhere to project plans, tasks, and deliverable; identifies dependencies and resource requirements.

Negotiation

View details

Senior Product Manager

Ho Chi Minh, Ha Noi - Viet Nam


No.1 Construction Tech company in Japan

  • Product Management

#The Opportunity: As the promoter of product development projects at the company, you will gain experience in project management and development direction, working with the business department from project definition to requirements definition, development, testing, and release. In the future, you will be responsible for product management of the company's products.#Job Scope: This is an important position that involves understanding the characteristics of users of the service and driving product development projects while balancing the needs of product, sales, customer success, and engineers. #Product Management: Define the scope, objectives, and goals of product development. Build the product structure and process, create and promote schedules. #Development Direction: Working with product managers to organize requirements, design business processes, and define requirements. Creating and executing test and release plans. Creating explanatory materials for internal/customer use. Verifying post-release effectiveness and reporting. Create and maintain comprehensive product documentation #Development Environment: Backend: Ruby on Rails, Go, AWS, Elasticsearch, MySQL, DynamoDB, Redis, Terraform (IaC), OIDC (Authentication). Frontend: Next.js/React.js, Typescript, Vue.js/Nuxt.js. Mobile App: Kotlin, Swift, Flutter. CI/CD & DevOps: Docker, Kubernetes, CodePipeline, CodeBuild, CircleCI, GitHub Actions. Monitoring & Tools: Datadog, Sentry, Bugsnag, Swagger, ZenHub, Figma

Negotiation

View details

Senior/ Lead Data Engineer (Data Platform / MLOps)

Ho Chi Minh, Ha Noi - Viet Nam


Information Technology & Services

You will be responsible for managing, designing, and enhancing data systems and workflows that drive key business decisions. The role is focused 75% on data engineering, involving the construction and optimization of data pipelines and architectures, and 25% on supporting data science initiatives through collaboration with data science teams for machine learning workflows and advanced analytics. You will leverage technologies like Python, Airflow, Kubernetes, and AWS to deliver high-quality data solutions. Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.

Negotiation

View details