Forward Deployed AI/ML Model Engineer

IMTF Software GmbH; Zürich; Hybrid; CHF 140.000 - 200.000; Vollzeit

Benefits dieser Stelle

Paid education

Zusammenfassung

IMTF Group hires for an AI/ML Engineer to deploy, tune, and own AI/ML models across enterprise solutions. You will design and implement model pipelines, work with UX and product teams to prioritize features, and ensure scalable, secure deployments on Kubernetes.

We value cross-functional collaboration, strong problem-solving and English communication to support global clients within a RegTech context. Hybrid work with paid education is offered.

Qualifikationen

• University degree in Computer Science, Engineering, or equivalent work experience.
• 5+ years of hands-on AI/ML model engineering experience, incl. LLM fine-tuning, GNN design 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, NeMo, PyTorch, SparkML), and MLops practices including MLFlow and Kubernetes.
• Experienced in writing clean, maintainable model code, applying clean architecture, agile methodologies, cloud-native development with Kubernetes, and modern software engineering practices.
• Familiarity with ML/AI stack (Spark, MLFlow, Delta Lake, PyTorch Distributed, TensorFlow, ONNX) and backend technologies such as Helm and Kubernetes is a strong asset.
• Initial experience managing a product lifecycle and engineering adoption metrics (users, queries, NPS) or AFC/FCC settings is desired.
• Ability to collaborate effectively within cross-functional and across customer and internal teams.
• Excellent problem-solving, debugging, and troubleshooting skills.
• Strong verbal and written communication skills in English.

Aufgaben

• Deploy, tune and create AI/ML models with customers and share critical feature requests with product and engineering teams.
• Design, build and own AI/ML products in collaboration with UX, product management and engineering, prioritizing feature roadmaps based on feedback.
• Design, implement, test, maintain, improve and monitor AI/ML models for our enterprise software solution using our leading training and inference framework running on Kubernetes.
• Work across the model operations stack to create scalable and traceable model training and inference workloads, including model validation pipelines and data assets.
• Leverage modern AI/ML lifecycle technologies (MLFlow, Nvidia NeMo, Ray and Torch Distributor) 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 production environments, including air-gapped usage scenarios with or without GPU availability.
• Contribute to model and data pipeline design decisions to ensure customer deployed Kubernetes stack reliability.

Kenntnisse

AI/ML model eng

LLM fine-tuning

GNN design

Data engineering

Distributed systems

MLops

Kubernetes

LangChain

PyTorch

Spark

TensorFlow

ONNX

Delta Lake

Nvidia NeMo

Ray

Torch Distributor

Ausbildung

University degree in Computer Science, Engineering, or equivalent

Tools

MLFlow

Nvidia NeMo

Ray

Torch Distributor

Spark

Delta Lake

PyTorch Distributed

Helm

Jobbeschreibung

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

• Deploy, tune and create AI/ML models with customers and share critical feature requests with the product and engineering teams
• Design, build and own AI/ML products in collaboration with UX, product management and engineering and appropriately prioritize feature roadmaps based on market and customer feedback
• Design, implement, test, maintain, improve and monitor AI/ML models for our enterprise software solution based on a our leading training and inference framework running on Kubernetes
• Work across the entire model operations stack to create scaleable and traceable model training and inference workloads including model validation pipelines and respective data assets
• Leverage modern AI/ML lifecycle technologies (MLFlow, Nvidia NeMo, Ray and Torch Distributor) 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

• University degree in Computer Science, Engineering, or equivalent work experience
• 5+ years of hands-on AI/ML model engineering experience, incl. LLM fine-tuneing, GNN design 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, NeMo, PyTorch, SparkML), and MLops practices including MLFlow and Kubernetes
• Experienced in writing clean, maintainable, model, 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
• Initial experience managing a product lifecycle and engineering to adoption metrics (users, queries, NPS) or experience in AFC/FCC settings is desired
• Ability to collaborate effectively within cross-functional and across customer and internal teams
• Excellent problem-solving, debugging, and troubleshooting skills
• Strong verbal and written communication skills in English

• 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
  

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.