aimlroles

Senior AI Engineer - Banking

Unison Group Open · verified Oct 22, 2026
On-site Singapore Contract Senior AI Engineering

At a glance

Senior AI Engineering role at Unison Group. Singapore · contract.

Pay not stated AI Engineer salary

RoleAI Engineering
SenioritySenior
LocationSingapore
WorkplaceOn-site
EmploymentContract
PostedOct 1, 2026 · 3w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Design, deploy and refine production machine-learning models, including agent systems that plan, use tools and complete tasks
  • Build training, evaluation and inference pipelines, then test model performance and improve results
  • Create microservices, APIs and event-driven integrations for AI services, with attention to reliability and speed
  • Set up automated testing and releases for ML models, and maintain clear code across programming languages
  • Guide junior engineers and data scientists, review code and help shape technical architecture

What you bring

  • At least five years building and deploying machine-learning models in production, plus five years designing microservices
  • You have built AI agents that reason, plan, use tools and carry out multi-step work
  • Advanced Python and Java skills, with experience using Spring Boot and concurrent programming
  • A bachelor's or master's degree in computer science, engineering, mathematics or a related area, or equivalent experience

Who this fits

This senior role suits an experienced AI engineer who can combine production ML work with software architecture and technical guidance. It is an onsite contractor position in Singapore.

From the employer

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