Senior Software Engineer developing scalable machine learning solutions for product - driven team at Maropost. Collaborating on recommendation systems and enhancing developer experience within the Machine Learning team.
About the role
- AI/ML Engineer building intelligent and adaptive systems for digital banking at Qode's Client. Involves working on production ML models and collaborating in a hybrid team.
Responsibilities
- 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 the 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 the ecosystem.
- Mentor junior engineers and collaborate closely with product and infrastructure teams to ensure model readiness for global scale.
Requirements
- 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
Benefits
- Meal and parking allowance
- Benefits and salary rank during probation
- Insurances as Vietnamese labor law and premium health care for you and your family
- Performance bonus up to 2 months
- 13th month salary
- 15-day annual leave+ 3-day sick leave + 1 birthday leave + 1 Christmas leave
- Work-life balance 40-hr per week from Mon to Fri
- Opportunity to build large-scale AI systems that power global digital banking across multiple markets.
- Work in a cloud-native, event-driven, and API-first architecture with cutting-edge technologies.
- Join a team where AI is not an experiment; it's a core part of the platform strategy.
- Hybrid working model, strong engineering culture, and continuous learning environment (LLMs, MLOps, data observability, and more).
- Be part of a global technology organization with shared ownership and impact.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
AI Engineer with expertise in Machine Learning for Periferia IT Group. Integrating generative AI models and developing solutions in a hybrid work environment.
Senior Platform/MLOps Engineer designing and maintaining scalable infrastructure for AI at Bright Machines. Join a team transforming manufacturing through intelligent automation.
CO
AI/ML Risk Guide enhancing risk management within Capital One's Tech and Product teams. Collaborating on risk solutions that impact customer experience and stability.
Staff Machine Learning Engineer developing content and creator classification systems for Patreon’s platform insights. Collaborating across teams to enhance discovery and recommendations for creators and fans.
Machine Learning Co - op working on sales and collection AI chatbot projects at Lendbuzz. Gaining experience with data annotation, cleaning, and multilingual model evaluation.
AI Prompt Senior Engineer developing and optimizing large language models for TIAA. Collaborating cross - functionally to create innovative AI solutions with a focus on data science.
Machine Learning Engineer transforming research - driven models into scalable systems. Join Shalion in an international team focused on e - commerce intelligence.
Team Lead Machine Learning overseeing production systems for sustainability analytics using satellite imagery and ML. Leading a technical team to drive innovative geospatial solutions.