AI/ML Engineer

Tymex

Thỏa Thuận
12/01/2026
Toàn thời gian

Mô tả công việc

Tóm tắt công việc
About the Role
We're looking for an AI/ML Engineer to join our Insights & Personalization pod within TymeX, a team building the intelligence layer that makes digital banking adaptive, transparent, and deeply personalized. This role is perfect for someone who understands that production ML in financial services isn't just about model accuracy; it's about building trustworthy, explainable systems that customers can rely on with their money.
You'll design and deploy machine learning systems across the full stack, from transaction intelligence and behavioral pattern recognition to predictive forecasting, conversational AI, and agentic solutions. You'll be building production systems that customers interact with directly, making the impact of your work tangible and immediate. As part of the Tyme Group operating across multiple markets, you'll build systems that create compounding value as they learn from more data and usage, with the opportunity to see your work scale globally across our digital banking platforms.
What You'll Do
As an AI/ML Engineer, you'll work across the full ML lifecycle, from model design and experimentation to large-scale deployment and performance optimization, within a distributed, microservices-based, and cloud-native environment.
You will:
Design, build, and optimize AI/ML pipelines for real-time and batch inference, leveraging modern MLOps practices.
Collaborate with data engineers and software developers to integrate models into TymeX's banking platform, ensuring reliability, monitoring, and version control.
Research, prototype, and productionize models in areas such as credit scoring, fraud detection, transaction classification, personalization, and conversational AI.
Implement robust model evaluation, A/B testing, and drift detection frameworks to ensure accuracy and stability over time.
Contribute to internal frameworks and libraries to standardize ML development workflows across teams.
Explore and evaluate emerging techniques in LLMs, Generative AI, and reinforcement learning applicable to TymeX's ecosystem.
Mentor junior engineers and collaborate closely with product and infrastructure teams to ensure model readiness for global scale.
You'll love working with us if you are:
Passionate about technology.
Independent but also a good team player.
Comfortable with a high degree of ambiguity.
Focused on usability and speed.
Keen on presenting your ideas to your peers and management.
At TYME, opportunities are here for the taking. If you want to be part of our purpose and live and lead through our values, we can offer exciting development opportunities through expanded lateral roles, stretch assignments, or people leadership.
Some of our benefits:
Meal and parking allowances are covered by the company.
Full benefits and salary rank during probation.
Insurances such as Vietnamese labor law and premium health care for you and your family.
SMART goals and clear career opportunities (technical seminar, conference, and career talk) - we focus on your development.
Values-driven, international working environment, and agile culture.
Overseas travel opportunities for training and work-related.
Internal Hackathons and company events (team building, coffee run, etc.).
Pro-Rate and performance bonus.
15-day annual + 3-day sick leave per year from the company.
Work-life balance 40-hr per week from Mon to Fri.

Yêu cầu

What You'll Bring
Experience:
5+ years of hands-on experience in machine learning engineering, data science, or related software development roles.
Proven experience deploying and maintaining ML models in production environments (preferably in fintech, e-commerce, or large-scale consumer products).
Technical Skills:
Strong proficiency in Python and core ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.).
Solid understanding of algorithms, data structures, and distributed computing concepts.
Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines).
Familiarity with data engineering stacks such as Spark, Kafka, and cloud data warehouses (e.g., BigQuery, Redshift).
Strong understanding of model monitoring, versioning, and observability in live systems.
Experience with cloud environments (AWS, GCP, or Azure) and IaC (Terraform, CloudFormation) is a plus.
Familiarity with secure data handling and compliance within regulated environments (e.g., banking or financial data) is advantageous.
Strong English communication
Mindset:
A system-thinking approach to ML development, viewing models as part of a continuous delivery ecosystem.
Curiosity for applied AI research balanced with pragmatism for production constraints.
Strong communication skills and ability to collaborate in cross-functional and multi-country teams

Thông tin khác

AI (Artificial Intelligence)
Machine Learning
Python
Algorithm
Docker
Apache Spark
Observability
AWS Redshift
MS Azure
Apache Kafka
AWS
Ecommerce
Kubernetes
Tensorflow
GCP
Fintech
scikit-learn
Terraform
PyTorch
AWS CloudFormation
Apache Airflow
MLflow
IaC
Kubeflow
MLOps
CI/CD
Google BigQuery
XGBoost

Thông tin chung

  • Thu nhập: Thỏa Thuận

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