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:

Outsource

Technical Skills:

Machine Learning

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01914

Status:

Close

Related Job:

Senior Mobile Security Engineer (Forensics)

Ho Chi Minh - Viet Nam


Product

Examine and interpret large-scale datasets and fraudulent activities to identify patterns, clusters, and evolving fraudulent behavior, including understanding the methods and processes used by attackers. Collaborate with the mobile development team to create and integrate secure mobile SDK components for accurate collection of forensic data, aiding in the identification of location spoofing, emulator abuse, rooted/jailbroken environments, and other forms of environment manipulation. Lead and conduct in-depth technical research on emerging mobile fraud and evasion techniques, and translate the findings into practical forensic indicators. Establish and improve end-to-end incident response capabilities throughout the system, working with Data Science and ML teams to convert forensic insights into technical features, rules, and detection logic. Offer technical advice and mentorship to junior engineers on effective practices in mobile security, forensics, and data analysis.

Negotiation

View details

AI/ML Engineer

Ho Chi Minh - Viet Nam


Offshore

  • Machine Learning
  • AI
  • Data Engineering

Develop and optimize ML pipelines for both real-time and batch inference, applying modern MLOps best practices. Collaborate cross-functionally with data engineers and software developers to seamlessly integrate models into our client's banking platform, ensuring reliability, monitoring, and version control. Research, prototype, and productionize models in critical domains such as credit scoring, fraud detection, transaction classification, personalization, and conversational AI. Implement robust evaluation frameworks, including A/B testing and drift detection, to maintain accuracy and stability over time. Contribute to internal libraries and frameworks that standardize ML workflows and accelerate development across teams. Explore emerging techniques in LLMs, Generative AI, and reinforcement learning, assessing their applicability to our client's ecosystem. Mentor junior engineers and partner closely with product and infrastructure teams to ensure models are production-ready and scalable globally.

Negotiation

View details

Senior Software Engineer (PHP/ Golang)

Ho Chi Minh - Viet Nam


Product

  • PHP
  • Golang

Analyzing requirements, converting them into technical specifications, and estimating implementation cost. Making significant individual contributions, actively writing high-quality, maintainable, and scalable code. Participating in shaping the technical roadmap by identifying and prioritizing issues, gaps, and technical debt in the product. Researching and evaluating new tools, technologies, and frameworks to enhance the product and improve development efficiency. Ensuring the product is technically prepared for future challenges, with a focus on security, maintainability, and scalability. Encouraging a culture of ownership, empowering engineers to provide product development suggestions. Providing technical input and insights to Product Managers regarding tradeoffs between scope, engineering capacity, and time constraints. Advocating best practices and actively participating in code and design document reviews to ensure high quality. Mentoring and supporting other engineers to foster their growth and development. Collaborating with other technical teams to maintain effective communication and avoid duplicate efforts or incompatible solutions.

Negotiation

View details