Senior Machine Learning Engineer at VC-backed predictive analytics startup

You will lead the end-to-end deployment of machine learning models into production, transforming complex global data into actionable supply chain insights. This role focuses on scaling robust algorithms for demand forecasting and real-time prediction within a high-growth environment, ensuring model reliability and performance using modern MLOps best practices and cloud infrastructure.

VC-backed predictive analytics startup

• Design, develop, and deploy production-grade machine learning models for forecasting, anomaly detection, and real-time visibility.
• Own the complete ML lifecycle, from initial research and feature engineering to automated deployment and continuous monitoring.
• Implement advanced Generative AI solutions and RAG architectures to enhance product capabilities and decision-making tools.

• 5+ years of experience scaling machine learning models in production environments, ideally within a product-focused startup.
• Deep expertise in Python, SQL, and cloud platforms like AWS/GCP, along with experience in containerization and big data technologies.
• Hands-on experience with Generative AI, prompt engineering, and time-series forecasting in high-availability systems.

• Work on high-impact predictive models that solve complex, real-world logistical challenges for global enterprises.
• Join a well-funded startup backed by top-tier VCs during a critical phase of technical product scaling.
• Enjoy remote-first flexibility within a diverse, tech-centric team that prioritizes ownership and professional growth.