AI/ML Engineer

JOB DESCRIPTION

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.
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 Our Client'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 Our Client's ecosystem.
Mentor junior engineers and collaborate closely with product and infrastructure teams to ensure model readiness for global scale.

JOB REQUIREMENT

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

WHAT'S ON OFFER

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.

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:

Offshore

Technical Skills:

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J02006

Status:

Active

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