Senior ML Engineer - Remote, Production AI & MLOps

PORTCAST PTE. LTD.; Singapore; Remote; SGD 90,000 - 120,000; Full time

Job summary

A predictive analytics startup in Singapore is seeking a Senior Machine Learning Engineer to launch and operate machine learning models that drive visibility and forecasting in the logistics sector. You will manage the end-to-end ML pipeline and collaborate with a diverse team to build scalable solutions. Candidates should leverage strong experience in Python, cloud platforms, and generative AI. The role offers a remote-first work environment alongside opportunities for professional growth.

Benefits

Globally distributed team

Tech-first work environment

Accelerated growth opportunities

Visible impact from your work

Qualifications

• 5+ years of experience in building, deploying, and scaling machine learning models in production environments.
• Experience deploying Generative AI models in production environments.
• Proven experience with the full product lifecycle from R&D to deployment.
• Experience in a product-based company, especially startups.

Responsibilities

• Develop and deploy machine learning models ensuring scalability and performance.
• Own the end-to-end ML pipeline including data processing and model development.
• Design and implement algorithms for visibility, prediction, demand forecasting.
• Ensure reliable and scalable ML infrastructure, automate deployment and monitoring.

Skills

Machine learning model deployment

Python

SQL

Generative AI

Cloud platforms (AWS, GCP, Azure)

Containerization (Docker, Kubernetes)

Time-series forecasting

Anomaly detection

First-principles thinking

Communication

Education

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

Tools

Spark

Kafka

Job description

A predictive analytics startup in Singapore is seeking a Senior Machine Learning Engineer to launch and operate machine learning models that drive visibility and forecasting in the logistics sector. You will manage the end-to-end ML pipeline and collaborate with a diverse team to build scalable solutions. Candidates should leverage strong experience in Python, cloud platforms, and generative AI. The role offers a remote-first work environment alongside opportunities for professional growth.