Staff Engineer on the Developer Productivity team at Motive. Spearheading the development of automation systems across SaaS, Mobile, and Embedded/IoT products.
IS
Hybrid Senior AI/ML Platform Engineer
Posted 3 months ago
About the role
- Senior AI/ML Platform Engineer developing AI/ML infrastructure for innovative RegTech solutions in Compliance & Automation. Collaborating on complex model deployment and ensuring system reliability.
Responsibilities
- Design, develop, test, maintain and improve the AI/ML infrastructure for our enterprise software solution based on a scalable micro service architecture running on Kubernetes
- Write high-quality, clean, maintainable, secure and reliable DevOps routines and Helm Charts
- Work across the entire backend stack, from integrating with event-driven architectures using Kafka, gRPC as well as REST APIs and robust data engineering pipelines
- Leverage modern AI/ML lifecycle technologies (MLFlow) and integrate with scalable data pipelines (Spark)
- Drive the evolution of our architecture and technology stack, ensuring scalability, performance, reliability and security at ISO 27001 level
- Support the deployment, monitoring, and optimization of models in complex and varied production environments, including air-gaped product usage scenarios with or without GPU availability
- Contribute to model and data pipeline design decisions to ensure the customer deployed Kubernetes stack reliability
Requirements
- University degree in Computer Science, Platform Engineering, or equivalent work experience
- 5+ years of hands-on AI/ML platform engineering experience, with Kubernetes, Spark, and data engineering technologies
- Experience in security sensitive product deployment scenarios such as health, defense, intelligence or finance is an advantage
- Strong understanding of distributed system design, AI platforms (LangChain, PyTorch, SparkML), and MLops practices including MLFlow and Kubernetes
- Experienced in writing clean, maintainable, and testable code, applying principles such as clean architecture, agile methodologies, cloud-native development Kubernetes, and modern software engineering practices
- Familiarity with our ML/AI stack (Spark, MLFlow, Delta Lake, PyTorch incl. Distributed, TensorFlow, ONNX) and backend technologies such as Helm and Kubernetes is a strong asset
- Ability to collaborate effectively within cross-functional teams
- Excellent problem-solving, debugging, and troubleshooting skills
- Strong verbal and written communication skills in English
Benefits
- Make the world safer: Help prevent financial crime and support our customers in creating a safer world
- Be part of a leading RegTech: Contribute to a well-established, innovative company in Switzerland
- International exposure: Work with global clients on diverse, challenging projects in a multicultural team
- Ownership and growth: Take responsibility from day one and develop your skills and career
- Flexible work environment: Enjoy hybrid work and flexible hours
- Paid education: Access opportunities for further training to enhance your expertise
Job title
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