Senior ML Engineer, Production AI & MLOps

Medium; Singapore; Remote; SGD 80,000 - 100,000; Full time

Job summary

A venture-backed startup in Singapore is seeking a Senior Machine Learning Engineer to deploy and scale machine learning models. The ideal candidate will have significant experience in model deployment, a strong background in Python and SQL, and the ability to work with cloud platforms. This role is crucial to enhancing predictive analytics for logistics and shipping, with an opportunity to shape the future of the industry.

Benefits

Globally distributed team

Tech-first culture

Accelerated growth opportunities

Impactful contributions

Qualifications

• 5+ years of experience in building, deploying, and scaling machine learning models in production environments.
• Experience deploying Generative AI models in production environments.
• Strong expertise in Python and SQL, along with experience in cloud platforms.

Responsibilities

• Develop and deploy machine learning models from initial research to production.
• Own the end-to-end ML pipeline, including testing and optimization.
• Ensure reliable ML infrastructure using MLOps best practices.

Skills

Machine learning model deployment

Data processing

Python

SQL

Cloud platforms (AWS, GCP, Azure)

Docker

Kubernetes

Time-series forecasting

Anomaly detection

Education

Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field

Tools

Spark

Kafka

Job description

A venture-backed startup in Singapore is seeking a Senior Machine Learning Engineer to deploy and scale machine learning models. The ideal candidate will have significant experience in model deployment, a strong background in Python and SQL, and the ability to work with cloud platforms. This role is crucial to enhancing predictive analytics for logistics and shipping, with an opportunity to shape the future of the industry.