About the role
About us
GoTyme is a multi-country digital banking group with global ambitions, building simple and trusted money tools that help more people access financial services. We serve 23M+ customers through 2,000+ employees across seven locations: South Africa, the Philippines, Singapore, Hong Kong, Indonesia, India, and Vietnam.
GoTymeX is GoTyme’s Technology and Product Development Hub, building the engine behind the business. Our engineers, data scientists, product managers, and architects create and scale the platforms, products, and experiences that power GoTyme across markets.
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 will 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.
Requirements
Who are we looking for
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.
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
Working model/location
We follow a hybrid working model, based out of our office in Vietnam. Flexible working arrangements are available for discussion.
Benefits
What we will offer
- Competitive rewards: Performance-based bonus of up to 2 months, a pro-rated 13th-month salary, and equity participation in GoTyme Group. - Benefits from day one: Full salary and benefits during probation, meal and parking allowances, insurance in line with Vietnamese labor law, and premium healthcare coverage for you and your family, with no seniority requirement. - Time to recharge: 15 days of annual leave, 3 sick days, 1 birthday leave, and 1 Christmas leave. - Room to grow: SMART goals and clear career opportunities, with access to technical seminars, conferences, and career talks. - International exposure: A values-driven, agile working environment, with opportunities to travel overseas for training and work. - A connected team: Internal hackathons and company events, including Town Halls, company trips, and team events. - Work–life balance: A 40-hour workweek, Monday to Friday.
Disclaimer
- We receive a high volume of applications, so we may not be able to respond to every candidate individually. If your profile matches our requirements, our team will contact you to discuss next steps. - Information shared during the recruitment process, including interview materials and case studies, is confidential to GoTymeX. We ask that candidates respect this and do not share it publicly or with third parties. - GoTymeX does not charge candidates any fees at any stage of the recruitment process. - GoTymeX will only contact candidates through official @ email addresses. Please stay alert to messages, emails, or websites impersonating our company.
Text as published by GoTymeX. We don't edit postings; apply and ask questions on the employer's site.