MLOps Engineer (mfd)

RIIICO; Düsseldorf; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A tech-driven company in Düsseldorf seeks an experienced MLOps Engineer to enhance their deep learning team. You will design and implement crucial ML infrastructure to support ML models in production, working closely with AI researchers and engineers. The ideal candidate has a Bachelor's degree in Computer Science, 2 years of coding experience preferably in Python or Rust, and solid knowledge of Kubernetes and AWS tools. This position offers additional vacation days, company stock options, and a hybrid working environment.

Leistungen

Additional vacation days

Company stock options

Flexible working hours

Hybrid Office Culture

Job Ticket Urban Sports Club Membership

Qualifikationen

• 2 years of professional coding experience preferably with Python or Rust.
• Experience working collaboratively in a dynamic environment.
• Hands-on experience deploying at least one machine learning model to production.

Aufgaben

• Design and implement ML infrastructure for production models.
• Collaborate with researchers to bridge research and production.
• Support engineers in integrating ML models into production.

Kenntnisse

Fluent English communication skills

Experience in Python or Rust

Knowledge of S3, EC2, Kubernetes

Working with backend APIs

Ausbildung

Bachelor's degree in computer science or related field

Tools

Kubernetes

S3

EC2

Jobbeschreibung

At RIIICO we were reimagining how factories adapt to change. Our AI-powered software makes complex production environments editable, interactive and collaborative turning manufacturing planning into something anyone can engage with not just the experts.

We are looking for a MLOps Engineer to complement our deep learning team and design a solid foundation for our ML models.

Tasks

• Designing and implementing ML infrastructure to build the foundation for our ML models in production
• Collaborate with AI researchers and engineers to bridge the gap between research and production
• Support engineers in integrating ML models into production ensuring a smooth handoff from research to product teams

Requirements

• Bachelor's degree in computer science or related field
• Experience with working collaboratively in a dynamic and fast environment
• 2 years of professional coding experience preferably with Python or Rust
• In-depth knowledge of S3, EC2, Kubernetes
• Working with backend APIs
• Hands‑on experience deploying at least one machine learning model to production
• Fluent English communication skills

Nice‑to‑have

• Background in 3D vision, point cloud processing or similar topics
• Strong understanding of the ML lifecycle: data preparation, training, evaluation, deployment, monitoring

Benefits

• Additional vacation days
• Company stock options
• Flexible working hours
• Hybrid Office Culture
• Job Ticket Urban Sports Club Membership and more

Key Skills

• Laboratory Experience
• Vendor Management
• Design Controls
• C / C++
• FDA Regulations
• Intellectual Property Law
• ISO 13485
• Research Experience
• SolidWorks
• Research & Development
• Internet of Things
• Product Development

Employment Type: Employee

Experience: years

Vacancy: 1