Senior AI Engineer - Banking

UNISON Group; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

UNISON Group is seeking an experienced Senior AI Engineer to drive scalable, production-grade AI solutions. You will blend AI/ML mastery with strong software engineering, focusing on microservices and multi-language development.

You will design ML pipelines, build agentic AI systems, and mentor engineers while collaborating with product managers and platform teams to deliver robust AI capabilities.

Qualifications

• 5+ years building and deploying ML models in production.
• Experience creating autonomous AI agents with tool use, planning, and execution.
• Proficient in Python and Java.
• Deep learning with TensorFlow or PyTorch; data processing with pandas/NumPy.
• Experience with Spring Boot, microservices, and concurrent programming.
• 5+ years designing microservices architectures.
• MLOps: model versioning, monitoring, deployment strategies.
• Cloud: AWS, GCP, or Azure ML services.

Responsibilities

• Design, develop, and deploy scalable ML models and AI solutions.
• Build agentic AI systems with autonomous decision-making and task execution.
• Develop multi-agent systems with tools, planning and memory.
• Create large-scale ML pipelines for training, evaluation, and inference.
• Apply state-of-the-art algorithms in NLP, CV, recommender systems, or analytics.
• Run experiments, evaluate models, and iterate to improve performance.
• Stay updated with AI/ML research and apply new techniques.
• Design robust microservices architectures for AI/ML apps.
• Develop RESTful APIs and event-driven integrations.
• Ensure high availability, fault tolerance, and performance optimization.
• Implement CI/CD for ML models.

Skills

AI/ML Expertise

Agentic AI

Python

Java

Deep learning

Spring Boot

Microservices

MLOps

Cloud platforms

Education

Bachelor's or Master's in CS/Engineering/Math

Tools

Docker

Kubernetes

TensorFlow

PyTorch

scikit-learn

pandas

NumPy

Git

REST APIs

Spring Boot

Job 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