Senior ML Engineer - Production-Ready AI for Global Logistics

PORTCAST PTE. LTD.; Remote; SGD 80,000 - 110,000; Full time

Job summary

A dynamic startup in Singapore is seeking a Senior Machine Learning Engineer to develop and deploy machine learning models. The role encompasses overseeing the entire ML pipeline and requires a robust understanding of machine learning and AI, with 5+ years of experience in production environments. Candidates should possess expertise in Python, cloud platforms, and real-time data processing. This position offers remote flexibility and emphasizes personal impact within a growing team.

Benefits

Globally distributed, remote-first flexibility

Tech-first team environment

Accelerated personal and professional growth

Direct impact on business results

Qualifications

• 5+ years of experience in building, deploying, and scaling machine learning models in production environments.
• Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments.
• Experience deploying Generative AI models in production environments, strong understanding of Retrieval-Augmented Generation (RAG) and AI Agents.

Responsibilities

• Develop and deploy machine learning models from initial research to production.
• Own the end-to-end ML pipeline, including data processing and model optimization.
• Ensure reliable ML infrastructure, automating deployment and monitoring processes.

Skills

Machine Learning Deployment

Model Building

Python

SQL

Cloud Platforms (AWS, GCP, Azure)

Docker

Kubernetes

Real-time Data Processing

Big Data Technologies (Spark, Kafka)

Generative AI Models

Problem-Solving

Education

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

Job description

A dynamic startup in Singapore is seeking a Senior Machine Learning Engineer to develop and deploy machine learning models. The role encompasses overseeing the entire ML pipeline and requires a robust understanding of machine learning and AI, with 5+ years of experience in production environments. Candidates should possess expertise in Python, cloud platforms, and real-time data processing. This position offers remote flexibility and emphasizes personal impact within a growing team.