Unison Group

Builds financial risk and compliance systems

Senior AI Engineer - Banking

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

At least 5 years of experience developing and deploying machine learning models in production environments.
Experience building autonomous AI agents with tool use, reasoning, planning, and multi-step task execution.
Advanced proficiency in Python and Java.
Experience with deep learning frameworks such as TensorFlow and PyTorch, data processing tools such as pandas and NumPy, and machine learning libraries such as scikit-learn.
Experience with Spring Boot, microservices frameworks, and concurrent programming.
At least 5 years of hands-on experience designing and implementing microservices-based systems.
Experience with MLOps practices, model versioning, monitoring, and deployment strategies.
Proficiency with AWS, GCP, or Azure ML services and infrastructure.
Strong understanding of distributed systems, message queues such as Kafka, and event-driven architectures.
Experience with containerization using Docker and orchestration using Kubernetes.
Knowledge of SQL and NoSQL database systems and data engineering concepts.
Familiarity with API design principles and RESTful services.
Experience with version control using Git and collaborative development workflows.
A bachelor's or master's degree in computer science, engineering, mathematics, or a related field, or equivalent experience.
A proven track record of delivering complex AI projects from conception to production.
Experience working in agile development environments.

Responsibilities

Design, develop, and deploy machine learning models and AI solutions to solve business problems.
Build and implement agentic AI systems with autonomous decision-making, reasoning, and task execution capabilities.
Develop multi-agent systems that use tools, planning, and memory.
Build and optimize large-scale machine learning pipelines for training, evaluation, and inference.
Implement algorithms in natural language processing, computer vision, recommendation systems, or predictive analytics.
Conduct experiments, evaluate models, and iterate on machine learning solutions to improve performance.
Stay current with AI and machine learning research and identify opportunities to apply emerging techniques.
Design and implement robust microservices architectures for AI and machine learning applications.
Build scalable, maintainable, and well-documented code across multiple programming languages.
Develop RESTful APIs and event-driven systems to integrate AI capabilities into broader platforms.
Ensure high availability, fault tolerance, and performance optimization of AI services.
Implement CI/CD pipelines for automated testing and deployment of machine learning models.
Mentor junior engineers and data scientists on AI engineering and software development best practices.
Lead technical design discussions and contribute to architectural decisions.
Collaborate with product managers, data scientists, and platform engineers.
Conduct code reviews and promote engineering excellence across the team.
Drive technical innovation and champion the adoption of new tools and methodologies.

Senior AI Engineer - Banking

Unison Group · Singapore, Singapore · Contract · Posted 2026-10-01

Workplace: on_site

Department: Manish

Description

**About The Role

**We are seeking an experienced Senior AI Engineer to join our team and drive the development of scalable, production-grade AI solutions. The ideal candidate will combine deep expertise in artificial intelligence and machine learning with strong software engineering fundamentals, particularly in microservices architecture and multi-language development.

**Responsibilities

AI/ML Development**

Design, develop, and deploy machine learning models and AI solutions that solve complex business problems.
Build and implement agentic AI systems with autonomous decision-making, reasoning, and task execution capabilities
Develop multi-agent systems that use tools, planning, and memory.
Build and optimise large-scale ML pipelines for training, evaluation, and inference.
Implement state-of-the-art algorithms in areas such as natural language processing, computer vision, recommendation systems, or predictive analytics
Conduct experiments, perform model evaluation, and iterate on ML solutions to improve performance.
Stay current with the latest AI/ML research and identify opportunities to apply emerging techniques.

Software Engineering & Architecture

Design and implement robust microservices architectures for AI/ML applications
Build scalable, maintainable, and well-documented code across multiple programming languages.
Develop RESTful APIs and event-driven systems to integrate AI capabilities into broader platforms
Ensure high availability, fault tolerance, and performance optimisation of AI services.
Implement CI/CD pipelines for automated testing and deployment of ML models.

Technical Leadership

Mentor junior engineers and data scientists on best practices in AI engineering and software development
Lead technical design discussions and contribute to architectural decisions.
Collaborate with cross-functional teams, including product managers, data scientists, and platform engineers.
Conduct code reviews and promote engineering excellence across the team
Drive technical innovation and champion the adoption of new tools and methodologies

**Required Qualifications

Technical Skills**

AI/ML Expertise – 5+ years of experience developing and deploying machine learning models in production environments
Agentic AI – Experience building autonomous AI agents with capabilities including tool use, reasoning, planning, and multi-step task execution
Programming Languages – Advanced proficiency in at least Python and Java.
Experience with Deep learning frameworks (TensorFlow, PyTorch), data processing (pandas, NumPy), ML libraries (scikit-learn), etc.
Experience with Spring Boot, microservices frameworks, and concurrent programming.
Microservices Architecture – 5+ years of hands-on experience designing and implementing microservices-based systems
ML Operations – Experience with MLOps practices, model versioning, monitoring, and deployment strategies
Cloud Platforms – Proficiency with AWS, GCP, or Azure ML services and infrastructure

Additional Technical Requirements

Strong understanding of distributed systems, message queues (Kafka, etc.), and event-driven architectures
Experience with containerization (Docker) and orchestration (Kubernetes)
Knowledge of database systems (SQL and NoSQL) and data engineering concepts
Familiarity with API design principles and RESTful services
Experience with version control (Git) and collaborative development workflows

Experience

Bachelor's or master’s degree in computer science, Engineering, Mathematics, or a related field (or equivalent experience).
Proven track record of delivering complex AI projects from conception to production
Strong problem-solving abilities and analytical thinking
Excellent communication skills with the ability to explain complex technical concepts to diverse audiences
Experience working in agile development environments

Apply

Apply at Unison Group

About the Company

Unison Group

Builds financial risk and compliance systems

Unison Group builds technology systems for financial institutions that need to manage risk, meet reporting rules and modernize their operations. Its consultants work across liquidity, market and credit risk, combining financial knowledge with software implementation and data analysis. The business also designs cloud infrastructure and develops custom applications, connecting these systems with the information and processes clients already use. It earns money through consulting, technology implementation and engineering services for enterprises, with work ranging from system design to deployment. Founded as Unison Consulting in 2012, the group is headquartered in Singapore.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 2012

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