We are seeking an experienced Machine Learning / AI Engineer to drive innovative digital initiatives across global projects. In this role, you will design, build, and deploy end-to-end machine learning solutions that are scalable, reliable, and compliant with AI governance and regulatory standards.
Key Responsibilities
Collaborate with data scientists and business teams to define and implement ML solutions.
Develop and deploy production-grade models using MLOps best practices (CI/CD, versioning, monitoring).
Build and maintain data and model pipelines for scalability and performance.
Ensure compliance with responsible AI, governance, and audit requirements.
Automate retraining, testing, and monitoring of deployed models.
Partner with DevOps, IT, and security teams for seamless integration.
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Qualifications
Master's degree in AI, ML, or Data Science.
6+ years in data science and ML, including 3+ in ML engineering.
Proficiency in Python (pandas, scikit-learn, TensorFlow, PyTorch).
Experience with MLOps tools (MLflow, Airflow, Kubeflow, etc.) and cloud platforms (AWS, Azure, GCP).
Knowledge of CI/CD, Docker, Kubernetes, and NoSQL databases.
Strong understanding of AI governance, model risk, and compliance.
Excellent communication and problem-solving skills.
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Preferred: Experience with Responsible AI, bias testing, feature stores, and data privacy in regulated sectors.
For a confidential discussion, please reach out to me at fiona.wong@sanderson-ikas.sg
Personal data collected will be used for recruitment purposes only.
Only shortlisted candidates will be notified / contacted.
EA Registration No: R21101138
"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: 200914065E with EA license number 16S8086.
Website: www.sanderson-ikas.sg