Senior ML Backend Engineer - Scalable ML Infrastructure

Jobgether; Schweiz; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Jobgether is seeking a Senior ML Backend Engineer based in Switzerland to build scalable ML infrastructure for training, evaluation, deployment, and monitoring of models using cloud-native tech and distributed systems.

You will collaborate with ML researchers and software teams to move prototypes into production, ensuring governance, security, and responsible AI practices while improving development efficiency and operational performance.

Qualifikationen

• Senior backend engineering experience with strong ML interest.
• Experience building ML infrastructure for large-scale training, evaluation, and deployment.
• Proficiency in Python and ML tooling, including experiment tracking and containers.
• MLOps practices: CI/CD, monitoring, reproducibility, data lineage, governance.
• Experience with cloud-native tech, Kubernetes, distributed computing, scalable ML infra.
• Understanding of AI concepts and use of AI tools to enhance workflows.
• Experience applying AI to business challenges with responsible AI awareness.
• Strong analytical, communication, and stakeholder collaboration skills.
• PhD preferred; Master's with relevant experience or Bachelor's with extensive hands-on work.

Aufgaben

• Build, maintain, and evolve scalable ML infrastructure for model development, training, evaluation, deployment, and monitoring.
• Design reliable ML pipelines, platforms, and tooling for large-scale workloads.
• Partner with ML researchers to transition models from prototypes into production systems.
• Develop automation, observability, monitoring, reproducibility, data lineage, and governance across ML environments.
• Evaluate and integrate new data sources, platforms, and tools to improve performance and efficiency.
• Collaborate with software, product, and business stakeholders to deliver scalable ML solutions.
• Apply AI-powered tools to automate workflows and boost engineering productivity.
• Ensure ML systems meet security, governance, responsible AI, and risk management standards.
• Identify trade-offs and contribute to architectural decisions involving infra scalability and reliability.

Kenntnisse

Python

Backend development

MLOps

CI/CD

Kubernetes

Cloud-native

Distributed computing

Data governance

Communication

Ausbildung

PhD in a STEM discipline

Master's with relevant experience

Bachelor's with extensive hands-on experience

Tools

Docker

Experiment tracking

Version control

Jobbeschreibung

Jobgether is seeking a Senior ML Backend Engineer based in Switzerland to build scalable ML infrastructure for training, evaluation, deployment, and monitoring of models using cloud-native tech and distributed systems.

You will collaborate with ML researchers and software teams to move prototypes into production, ensuring governance, security, and responsible AI practices while improving development efficiency and operational performance.