Machine Learning / AI Engineer (Contract)

GMP TECHNOLOGIES (S) PTE LTD; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

A technology solutions provider in Singapore is looking for an experienced Machine Learning Engineer. The candidate will collaborate with data scientists to define solutions, deploy models, and maintain data pipelines. Key skills include Python, MLOps, and experience with cloud platforms. This role requires 6+ years in data science, with a Master's degree in a relevant field. Applicants are encouraged to apply via GMPRecruit.com.

Qualifications

• 6+ years in data science/ML, with 3+ years in ML engineering.
• Experience across the end-to-end ML lifecycle.
• Strong Python programming skills (pandas, scikit-learn, TensorFlow/PyTorch).

Responsibilities

• Collaborate to define ML solutions and develop PoCs.
• Deploy ML models using MLOps best practices.
• Build and maintain scalable data pipelines.

Skills

Python programming

MLOps practices

Data wrangling

Data science techniques

CI/CD pipelines

NoSQL databases

Cloud platforms

Education

Masters degree in AI, ML, or Data Science

Tools

MLOps tools (MLflow, TFX, Airflow, Kubeflow)

Docker

Kubernetes

Job description

Responsibilities

• Collaborate with data scientists and business stakeholders to define ML solutions and develop PoCs.


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


• Build and maintain scalable data pipelines and monitor model performance.


• Ensure models comply with organizational AI policies, responsible AI practices, and audit requirements.


• Support data exploration, feature engineering, and occasional model building.


• Automate model retraining, testing, and monitoring to maintain long-term performance.


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


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

Requirements

• Masters degree in AI, ML, or Data Science.


• 6+ years in data science/ML, with 3+ years in ML engineering.


• Experience across the end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.


• Strong Python programming skills (pandas, scikit-learn, TensorFlow/PyTorch).


• Experience with NoSQL databases; Graph database experience desirable.


• Hands-on with MLOps tools (MLflow, TFX, Airflow, Kubeflow, etc.).


• Familiarity with cloud platforms (GCP, AWS, Azure) for ML deployment.


• Solid knowledge of data science techniques (supervised/unsupervised learning, NLP, time series).


• Experience with CI/CD pipelines and containerization (Docker, Kubernetes).


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


• Ability to communicate technical concepts to non-technical stakeholders.

Preferred

• Experience with Responsible AI frameworks and bias/fairness testing.


• Exposure to feature stores, model registries, and data versioning.


• Knowledge of data privacy, anonymization, and compliance in regulated industries (e.g., banking, healthcare).

To apply, please visit GMPRecruit.com and search for Job Reference: 9396Y33Y.

To learn more about this opportunity, please contact Yingying at [e-mail]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

This is in partnership with the Employment and Employability Institute Pte Ltd (e2i).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.