Machine Learning Engineer
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.
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.
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