Senior Machine Learning Engineer

📋 Description

• Own end-to-end ML lifecycle from research to production.
• Build scalable ML pipelines: data processing, model deployment, and monitoring.
• Collaborate with product and customer teams to turn loosely defined problems into shipped features.
• Design algorithms for visibility, prediction, demand forecasting, and freight audit.
• Ensure reliable, scalable ML infrastructure with automated deployment and monitoring (MLOps).
• Real-time prediction models: build, test, and deploy with versioning and performance tracking.

🎯 Requirements

• Bachelor's/Master's/PhD in CS, Engineering, or related field.
• 5+ years of end-to-end ML in production environments.
• Hands-on experience productionising LLM-based systems; bonus for AI agents, tool calling
• Experience from R&D to deployment in fast-paced/product-based settings.
• Strong Python and SQL, cloud platforms (AWS, GCP, or Azure), and containers (Docker, Kubernetes).
• Familiarity with real-time data processing, anomaly detection, time-series forecasting; Spark and

🎁 Benefits

• Globally distributed, remote-first team across Asia and Europe.
• Tech-first culture with engineering and data at the core.
• Ownership from day one: own ML systems end-to-end in a small team.
• Visible impact: decisions ship and directly affect the business.