Senior AI Platform System Engineer

<p>As a leading global software product company in the field of Compliance &amp; Automation, IMTF Group develops cutting-edge RegTech solutions with a focus on Anti-Money Laundering and Anti-Fraud. We are dedicated to automating manual processes through the use of machine learning and data science, ensuring our clients have the most efficient and effective compliance solutions on the market.</p><p>We value innovation, excellence, and continuous learning at IMTF Group. We provide a dynamic, collaborative work environment where your ideas will be heard and your skills will be put to the test. If you are passionate about technology and motivated to make a significant impact in the compliance industry, this is the perfect opportunity for you to thrive and advance your career with us.</p><h3>Responsibilities</h3><ul><li>Design, develop, test, and maintain scalable, secure, and reliable AI/ML infrastructure for enterprise software running on Kubernetes and microservices.</li><li>Develop reusable frameworks and components for AI model training and inference across different customer environments.</li><li>Build and maintain automated MLOps pipelines for model training, testing, deployment, and monitoring using technologies such as MLflow and Spark.</li><li>Integrate AI/ML services with backend systems, event-driven architectures, APIs, and data pipelines using technologies such as Kafka, gRPC, and REST.</li><li>Optimize model deployment and serving for performance, latency, throughput, and resource utilization, including isolated environments with limited connectivity and varying GPU availability.</li><li>Improve platform architecture, deployment automation, Helm charts, and DevOps workflows to ensure scalability, reliability, and security in line with ISO 27001 requirements.</li><li>Support customer deployments by contributing to technical design decisions, providing configuration guidance and training, and sharing operational best practices.</li></ul><p><strong>Requirements</strong></p><ul><li>Degree in Computer Science, Platform Engineering, or a related field, or equivalent practical experience.</li><li>5+ years of hands-on experience in AI/ML platform engineering.</li><li>Strong experience with Kubernetes, distributed systems, data engineering, and AI/ML platforms, including Spark and vLLM or similar technologies.</li><li>Good understanding of MLOps, including automated model training, testing, deployment, and monitoring. Familiarity with MLflow and PyTorch is expected.</li><li>2+ years of experience deploying AI/ML platforms in isolated or non-SaaS environments, ideally in production.</li><li>Strong software engineering skills, with a focus on clean, maintainable, testable, and secure code.</li><li>Excellent written and verbal communication skills in English.</li></ul><p></p><p><strong>Nice to have</strong></p><ul><li>Experience in anti-financial crime (AML, CTF, sanctions, fraud), military and defense, or law enforcement.</li><li>Familiarity with TensorFlow, ONNX, Delta Lake, SparkML, distributed PyTorch, Ray, and Helm.</li></ul><p><strong>Benefits</strong></p><ul><li><strong>Make the world safer:</strong> Help prevent financial crime and support our customers in creating a safer world</li><li> <strong>Be part of a leading RegTech:</strong> Contribute to a well-established, innovative company in Switzerland</li><li> <strong>International exposure:</strong> Work with global clients on diverse, challenging projects in a multicultural team</li><li> <strong>Ownership and growth:</strong> Take