Senior Machine Learning Engineer

📋 Description Architect and deploy production ML systems for scale and reliability. Build supervised, unsupervised, DL, and generative models in production. Own ML pipelines, feature stores, training infra, and inference systems. Design RAG systems, fine-tuning pipelines, prompts, and evaluation pipelines. Implement CI/CD for ML, model versioning, monitoring, and drift detection. Collaborate with product, engineering, and data teams to translate problems into AI solutions. 🎯 Requirements 7 to 15+ years in software engineering, data science, or ML. Strong background in product companies, scale-ups, or enterprise AI platforms. Proven track record building production-grade AI systems, not just notebooks. End-to-end ownership from data through deployment to monitoring. Product-focused engineering approach, not research-only. Advanced Python and production-grade systems thinking. 🎁 Benefits Work with one of the world’s leading financial derivatives institutions. Competitive salary plus performance-based incentives. International, dynamic, fast-growing environment. Strong opportunities for career progression within a global financial group. Be part of a business committed to innovation, excellence, and long-term growth. Vantage Compute is an equal opportunity employer.