Senior AI Engineer: Autonomous AI & ML Systems Lead

OCBC Group

Singapore

On-site

SGD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Competitive base salary
Professional development opportunities
Flexible benefits
Community initiatives

Job summary

OCBC Group in Singapore is seeking an experienced Senior AI Engineer to advance scalable, production-grade AI solutions. You will combine ML expertise with strong software engineering, esp. microservices and multi-language development.

Responsibilities include designing ML models, building agentic AI systems, large-scale ML pipelines, RESTful APIs, and CI/CD for ML. Strong collaboration with product and data teams is expected.

Qualifications

  • AI/ML expertise with 5+ years deploying ML models in production environments.

Responsibilities

  • Design, develop, and deploy ML models and AI solutions that address complex business problems.
  • Build agentic AI systems with autonomous decision-making, reasoning, and task execution.
  • Develop multi-agent systems using tools, planning and memory.
  • Build and optimise large-scale ML pipelines for training, evaluation, and inference.
  • Implement state-of-the-art algorithms in NLP, CV, recommender systems, or predictive analytics.
  • Conduct experiments, evaluate models, and iterate to improve performance.
  • Stay current with AI/ML research and apply new techniques.

Skills

AI/ML Expertise
Agentic AI
Python
Java
Microservices
MLOps
Cloud Platforms
Distributed systems
Docker
Kubernetes
REST APIs
Git

Education

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

Tools

Docker
Kubernetes
Spring Boot
TensorFlow
PyTorch
Pandas/NumPy
scikit-learn
Git

Job description

OCBC Group in Singapore is seeking an experienced Senior AI Engineer to advance scalable, production-grade AI solutions. You will combine ML expertise with strong software engineering, esp. microservices and multi-language development.

Responsibilities include designing ML models, building agentic AI systems, large-scale ML pipelines, RESTful APIs, and CI/CD for ML. Strong collaboration with product and data teams is expected.

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