RIIICO

MLOps Engineer (mfd)

RIIICO WorkFromHome

Stellenbeschreibung:

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

#J-18808-Ljbffr
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Stelleninformationen

  • Veröffentlichungsdatum:

    13 Jan 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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