ML Deployment Engineer — Scale AI in Production (AWS/CI-CD)

Tech Aalto Pte ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tech Aalto Pte ltd in Singapore seeks an AI/ML Deployment Engineer to ensure production deployment of ML models and pipelines, implement ML features, and automate training and deployment using CI/CD. You will work with AWS cloud services, and monitor model effectiveness in a multi-disciplinary team.

The role emphasizes hands-on ML deployment, data analysis, and collaboration with software engineers, PMs, and domain experts in an Agile environment.

Qualifications

• Formal training in a quantitative discipline (statistics, OR, economics, CS, mathematics).
• 5 years of relevant work experience in data analysis, data science or related fields with deep expertise in statistical data analysis.
• Experience with Python and ML libraries (eg. Pandas, PyTorch).
• Experience with SQL.
• Experience in a multi-disciplinary team of data scientists, software engineers, PMs and domain experts.
• Experience in an Agile working environment.

Responsibilities

• Deploy ML models and pipelines to production.
• Implement ML features for new and existing systems.
• Deploy applications to AWS cloud leveraging AWS services.
• Automate model training, testing and deployment using CI/CD.
• Understand and implement metrics to verify model effectiveness.
• Continuously monitor health of Agile products.

Skills

Python

ML libraries

Pandas

Pytorch

SQL

Agile

Data analysis

Education

Quantitative discipline degree

Tools

AWS Textract

Airflow

Dagster

MLOps

NLP systems

Job description

Tech Aalto Pte ltd in Singapore seeks an AI/ML Deployment Engineer to ensure production deployment of ML models and pipelines, implement ML features, and automate training and deployment using CI/CD. You will work with AWS cloud services, and monitor model effectiveness in a multi-disciplinary team.

The role emphasizes hands-on ML deployment, data analysis, and collaboration with software engineers, PMs, and domain experts in an Agile environment.