Remote Senior ML Engineer – AI Platform & Production

ClickHouse; Amsterdam; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible work environment

Healthcare contributions

Equity in the company

Generous time off

USD 500 home office setup

Global gatherings

Job summary

ClickHouse, recognised on the 2025 Forbes Cloud 100 list, is seeking an experienced AI/ML Engineer to join our AI/ML Engineering team. You will design, build, and operate AI-powered features across the ClickHouse Cloud platform, from backend inference services to intuitive frontend interfaces.

Bring 5+ years in production software engineering, hands-on AI/ML deployment, and strong collaboration across stakeholders.

Qualifications

• 5+ years of software engineering in production systems.
• Hands-on AI/ML experience and tooling.
• Experience deploying AI/ML models in production, including inference APIs.
• Ability to own features from concept to production with minimal supervision.
• Strong communication across diverse stakeholders.
• Hands-on with Python, Jupyter, PyTorch, and ML workflows.

Responsibilities

• Feature Development: AI-powered features across backend to frontend in ClickHouse Cloud.
• API Architecture: Build robust APIs connecting database capabilities to AI services.
• Ecosystem Integrations: Align with AI/ML frameworks and tools.
• Technical Integration: Production model integration with monitoring and versioning.
• Oncall: Participate in daytime on-call rotation.
• ML Engineering: Manage end-to-end ML pipeline and model evaluation.

Skills

Software engineering

AI/ML experience

Production ML deployment

Python for ML

Cross-functional collaboration

On-call experience

Tools

Python (ML libs)

Ray

Slurm

Vector databases

CI/CD pipelines

Job description

ClickHouse, recognised on the 2025 Forbes Cloud 100 list, is seeking an experienced AI/ML Engineer to join our AI/ML Engineering team. You will design, build, and operate AI-powered features across the ClickHouse Cloud platform, from backend inference services to intuitive frontend interfaces.

Bring 5+ years in production software engineering, hands-on AI/ML deployment, and strong collaboration across stakeholders.