Machine Leaning 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 [Confidential Information]

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