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Imtf

Senior AI Platform System Engineer

  • Seen live on Imtf's site yesterday
  • Senior
Pay
Not stated
Location
Zürich, Zurich, Switzerland
Open for
6 days
First seen
Oct 29, 2026
Apply on Imtf's site (opens in a new tab)

Posting record

No flags

Open 6 days

The posting's record, oldest first
  1. Ghostless first sees this listing
  2. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

5+ years of experience
“5+ years of hands-on experience in AI/ML platform engineering.” (quoted from the posting)
Equivalent experience accepted instead of a degree
“Degree in Computer Science, Platform Engineering, or a related field, or equivalent practical experience.” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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

  • 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.
  • Build and maintain automated MLOps pipelines for model training, testing, deployment, and monitoring using technologies such as MLflow and Spark.
  • Integrate AI/ML services with backend systems, event-driven architectures, APIs, and data pipelines using technologies such as Kafka, gRPC, and REST.
  • Optimize model deployment and serving for performance, latency, throughput, and resource utilization, including isolated environments with limited connectivity and varying GPU availability.
  • Improve platform architecture, deployment automation, Helm charts, and DevOps workflows to ensure scalability, reliability, and security in line with ISO 27001 requirements.
  • 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

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.

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