AI/ML Engineer

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.

5+ years of experience in machine learning engineering, data science, or related software development roles is required.

Proven experience in deploying and maintaining ML models in production environments, preferably in fintech, e-commerce, or large-scale consumer products.

Proficiency in Python and core ML libraries such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.

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).

Understanding of model monitoring, versioning, and observability in live systems.

Experience with cloud environments (AWS, GCP, or Azure) and IaC (Terraform, CloudFormation) is advantageous.

Familiarity with secure data handling and compliance within regulated environments (e.g., banking or financial data) is advantageous.

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.

Company offers meal and parking benefits.

Full benefits and probationary salary provided.

Insurance coverage as per Vietnamese labor law and premium health care for employees and their families.

Work environment is values-driven, international, and agile in nature.

Opportunities for overseas travel related to training and work.

Participation in internal Hackathons and company events such as team building, coffee runs, and blue card activities.

Additional benefits include a 13th-month salary and performance bonuses.

Employees receive 15 days of annual leave and 3 days of sick leave per year.

Work-life balance with a 40-hour workweek from Monday to Friday.

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666