Senior ML Engineer — Remote, End-to-End Production AI

Portcast Pte. Ltd.; Singapore; On-site; SGD 150,000 - 230,000; Full time

Benefits offered by this job

Remote-first

Tech-led team

Full ownership from day one

Job summary

Portcast Pte. Ltd. is seeking a Senior Machine Learning Engineer to own the full lifecycle from research to deployment.

You will build scalable ML models for visibility, forecasting, and freight audit, working across data processing, validation, and production monitoring in a remote-first setup. You will collaborate with product and customer-facing teams to translate loosely defined problems into shipped features, pushing back on weak briefs and iterating quickly as priorities shift.

Qualifications

• Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field.
• At least 5+ years of end-to-end and consistent building, deploying, and scaling machine learning models in production environments.
• Hands-on experience productionising LLM-based systems with attention to prompts, prompts versioning, and cost monitoring.
• Proven experience across the full product lifecycle, taking models from R&D to deployment in fast-paced environments.
• Experience in a product-based company, preferably a startup with early-stage technical product development.
• Strong expertise in Python and SQL, with cloud platforms AWS, GCP, or Azure and containerization Docker/Kubernetes.
• Familiarity with real-time data processing, anomaly detection, and time-series forecasting in production.
• Experience with large datasets and big data technologies like Spark and Kafka.
• First-principles thinking and strong problem-solving, with a proactive approach to challenges.
• A self-starter who takes ownership end to end and works autonomously to drive results.
• Excellent communication with a strong customer-obsessed mindset.

Responsibilities

• Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments.
• Own the end-to-end ML pipeline: data processing, model development, testing, deployment, and continuous optimization.
• Design and implement machine learning algorithms addressing visibility, prediction, demand forecasting, and freight audit.
• Ensure reliable, scalable ML infrastructure, automating deployment and monitoring using MLOps best practices.
• Perform feature engineering, model tuning, and validation for production readiness.
• Build, test, and deploy real-time prediction models with version control and performance tracking.

Skills

Python

SQL

AWS

GCP

Azure

Docker

Kubernetes

LLM deployment

Real-time data processing

Time-series forecasting

Spark

Kafka

Data modeling

Production ML

Model evaluation

Education

Bachelor's degree in Computer Science or related field

Master's or PhD in a relevant field

Tools

Docker

Kubernetes

Job description

Portcast Pte. Ltd. is seeking a Senior Machine Learning Engineer to own the full lifecycle from research to deployment.

You will build scalable ML models for visibility, forecasting, and freight audit, working across data processing, validation, and production monitoring in a remote-first setup. You will collaborate with product and customer-facing teams to translate loosely defined problems into shipped features, pushing back on weak briefs and iterating quickly as priorities shift.