Senior Machine Learning Engineer

This is a fully remote position, open to applicants in Singapore.

📋 Description

• Develop and implement machine learning models from initial research to deployment, ensuring they are scalable and perform well in live environments.

• Manage the complete ML pipeline, which encompasses data processing, model development, testing, deployment, and ongoing optimization.

• Collaborate closely with product and customer-facing teams to transform loosely defined problems into delivered features.

• Challenge weak briefs, make decisions when specifications are lacking, and quickly adjust scopes as priorities evolve.

• Design and execute ML algorithms for visibility, predictions, demand forecasting, and freight auditing.

• Ensure the reliability and scalability of ML infrastructure by employing MLOps best practices for deployment and monitoring.

• Conduct feature engineering, model tuning, and validation.

• Construct, test, and deploy real-time prediction models.

• Maintain version control and track performance for models.

• Oversee ML systems from research to production, including monitoring, debugging, and continuous improvement.

⛳️ Requirements

• Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related discipline.

• A minimum of 5+ years of experience in building, deploying, and scaling machine learning models in production settings.

• Practical experience in productionizing LLM-based systems.

• Familiarity with AI agents, multi-step workflows, tool/function calling, and grounding models on proprietary data via retrieval and context design is an advantage.

• Experience in prompt and model behavior versioning, prompt management, evaluation harnesses, guardrails, and monitoring output quality, latency, and cost in live systems.

• Demonstrated experience throughout the entire product lifecycle, transitioning models from R&D to deployment in dynamic environments.

• Background in a product-oriented company, ideally a startup involved in early-stage technical product development.

• Strong proficiency in Python and SQL.

• Familiarity with AWS, GCP, or Azure.

• Experience with Docker and Kubernetes.

• Knowledge of real-time data processing, anomaly detection, and time-series forecasting in production.

• Experience working with large datasets and big data technologies such as Spark and Kafka.

• Strong problem-solving skills and first-principles thinking.

• A proactive approach to overcoming challenges.

• Ability to take full ownership and work autonomously.

• Excellent communication skills with the ability to clearly articulate complex technical concepts.

• A strong customer-focused mindset.

🏝️ Benefits

• Globally distributed, remote-first flexibility.

• Collaborate with a lean, distributed team across Asia and Europe.

• Emphasis on trust, accountability, and collaboration.

• Work with a tech-savvy team addressing complex problems using technology.

• Genuine ownership from day one.

• Opportunity for rapid growth within a company of approximately 30 employees.

• Direct influence on the business and the work delivered.