Senior AI/ML Engineer (Banking Industry)

APBA TG HUMAN RESOURCE PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A human resource consulting firm in Singapore is seeking a skilled AI Engineer to develop and deploy machine learning solutions. Candidates should have over 8 years of experience in software development and AI engineering roles, with strong programming skills in Python and familiarity with MLOps tools. This position involves collaborating with stakeholders, maintaining data pipelines, and ensuring compliance with AI governance practices. Interested candidates should apply by sending their resumes to the provided email address.

Qualifications

• 8+ years of experience in software development, data science, and ML, with at least 3+ years in AI engineering roles.
• Proven experience in the end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.
• Strong understanding of AI governance, model risk management, and regulatory requirements.

Responsibilities

• Collaborate with business stakeholders to define AI solutions.
• Build and deploy ML models following MLOps best practices.
• Develop and maintain data pipelines for AI solutions.

Skills

Python programming

AI/ML library usage (pandas, scikit-learn, TensorFlow, PyTorch)

MLOps tools (MLflow, Airflow, Kubeflow)

Experience with LLM orchestration frameworks

Communication skills

Education

Bachelor’s or Master’s degree in AI, ML, data science, or related field

Tools

NoSQL databases

Cloud platforms (AWS, GCP)

Job description

Key Responsibilities

• Collaborate with business stakeholders to understand use cases and define AI solutions.

• Build and deploy ML models into production following MLOps best practices (model versioning, monitoring, CI/CD).

• Develop and maintain data pipelines for scalable and maintainable AI solutions.

• Support data exploration, feature engineering, and model building as needed.

• Automate model retraining, testing, and performance monitoring.

• Ensure all AI models adhere to organizational policies, responsible AI practices, and audit requirements.

• Document ML workflows, governance checkpoints, and risk assessments.

• Partner with CloudOps, DevOps, IT, and security teams to integrate AI solutions into enterprise platforms.

• Analyze and optimize AI/ML solutions for performance, scalability, and reliability.

• Mentor and guide team members in AI engineering best practices and technical decision-making.

Qualifications & Requirements

• Bachelor’s or Master’s degree in AI, ML, data science, or related field with proven experience designing and developing ML models.

• 8+ years of experience in software development, data science, and ML, with at least 3+ years in AI engineering roles.

• Strong programming skills in Python and experience with AI/ML libraries (pandas, scikit-learn, TensorFlow, PyTorch).

• Experience with LLM orchestration frameworks (Langchain, LangGraph, vLLM, LMDeploy).

• Proven experience in the end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.

• Knowledge of NoSQL databases; experience with graph databases is a plus.

• Familiarity with MLOps tools such as MLflow, Airflow, or Kubeflow.

• Experience with cloud platforms (AWS, GCP) for AI solution deployment.

• Strong understanding of AI governance, model risk management, and regulatory requirements.

• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders.

To Apply, please kindly email your updated resume to [e-mail]

Regret to inform that only shortlisted candidates will be notified.

CEI: R25127749

EA License: 14C7275