Senior AI Platform System Engineer
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Before you apply
LocationZürich, Zurich, Switzerland
Work modehybrid
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentResearch and Development
Company size51–200 people
PostedOct 29, 2026 · 1w ago
Verified live17h ago
At a glanceSummarised by Seekless from the posting.
Degree in Computer Science, Platform Engineering, or a related field, or equivalent practical experience
5+ years of hands-on experience in AI/ML platform engineering
Strong experience with Kubernetes, distributed systems, data engineering, and AI/ML platforms, including Spark and vLLM or similar technologies
Good understanding of MLOps, including automated model training, testing, deployment, and monitoring. Familiarity with MLflow and PyTorch is expected
2+ years of experience deploying AI/ML platforms in isolated or non-SaaS environments, ideally in production
Strong software engineering skills, with a focus on clean, maintainable, testable, and secure code
Excellent written and verbal communication skills in English
Experience in anti-financial crime (AML, CTF, sanctions, fraud), military and defense, or law enforcement
Familiarity with TensorFlow, ONNX, Delta Lake, SparkML, distributed PyTorch, Ray, and Helm
Skills
Kubernetes
Spark
vLLM
MLflow
PyTorch
Kafka
gRPC
REST
TensorFlow
ONNX
Delta Lake
SparkML
Ray
Helm
Benefits
Health insurance
Hybrid work
Flexible hours
About the company
As a leading global software product company in the field of Compliance & 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.
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.
Responsibilities
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Design, develop, test, and maintain scalable, secure, and reliable AI/ML infrastructure for enterprise software running on Kubernetes and microservices.
•
Develop reusable frameworks and components for AI model training and inference across different customer environments.
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Build and maintain automated MLOps pipelines for model training, testing, deployment, and monitoring using technologies such as MLflow and Spark.
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Integrate AI/ML services with backend systems, event-driven architectures, APIs, and data pipelines using technologies such as Kafka, gRPC, and REST.
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Optimize model deployment and serving for performance, latency, throughput, and resource utilization, including isolated environments with limited connectivity and varying GPU availability.
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Improve platform architecture, deployment automation, Helm charts, and DevOps workflows to ensure scalability, reliability, and security in line with ISO 27001 requirements.
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Support customer deployments by contributing to technical design decisions, providing configuration guidance and training, and sharing operational best practices.
Requirements
•
Degree in Computer Science, Platform Engineering, or a related field, or equivalent practical experience.
•
5+ years of hands-on experience in AI/ML platform engineering.
•
Strong experience with Kubernetes, distributed systems, data engineering, and AI/ML platforms, including Spark and vLLM or similar technologies.
•
Good understanding of MLOps, including automated model training, testing, deployment, and monitoring. Familiarity with MLflow and PyTorch is expected.
•
2+ years of experience deploying AI/ML platforms in isolated or non-SaaS environments, ideally in production.
•
Strong software engineering skills, with a focus on clean, maintainable, testable, and secure code.
•
Excellent written and verbal communication skills in English.
Nice to have
•
Experience in anti-financial crime (AML, CTF, sanctions, fraud), military and defense, or law enforcement.
•
Familiarity with TensorFlow, ONNX, Delta Lake, SparkML, distributed PyTorch, Ray, and Helm.
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
Legal
At IMTF, we are committed to treating all candidates with respect and equality, regardless of gender, religion, nationality, or any other characteristic. We embrace diversity and inclusion as integral components of our organizational culture, and we welcome candidates from all backgrounds to apply and contribute to our team.