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Lead Software Engineer with Computer Vision

developrec

Frankfurt

Remote

EUR 65.000 - 90.000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading tech company focused on computer vision and machine learning is looking for a Lead Software Engineer to join their remote team. This role involves engaging in cutting-edge projects, particularly in 3D model processing, machine learning deployment, and developing scalable infrastructure. The ideal candidate will have extensive software engineering experience, particularly in computer vision and related technologies, and will thrive in a collaborative, flexible work environment.

Leistungen

Collaborative, self-organized team environment
Inclusive and open company culture
Opportunities for peer-to-peer learning
Flexible remote or hybrid work arrangements
30 days of vacation plus additional fixed days off
Company pension plan
Supportive onboarding program

Qualifikationen

  • Considerable experience in software engineering with expertise in computer vision.
  • Proficient in multiple programming languages.
  • Skilled in deploying machine learning models in production.

Aufgaben

  • Design and implement algorithms for advanced 3D model analysis.
  • Collaborate with data scientists to deploy machine learning models.
  • Build and maintain CI/CD pipelines for robust software releases.

Kenntnisse

Computer Vision
Machine Learning
Image Processing
Software Development
DevOps
Docker
Kubernetes
CI/CD
Big Data Handling

Tools

Docker
Kubernetes

Jobbeschreibung

Lead Software Engineer (Computer Vision / Machine Learning)

Remote in Germany

  • Full-Time
  • Permanent

A fast-growing tech company in the computer vision and machine learning space is looking for a Senior Software Engineer (Computer Vision) to join their remote team to

This role offers the opportunity to work on cutting-edge projects involving 3D model processing, machine learning deployment, and scalable infrastructure.

Key Responsibilities

  • 3D Model Processing : Design and implement software solutions and algorithms for advanced 3D model analysis.
  • ML Deployment : Collaborate with data scientists to bring machine learning models into production, covering the full deployment pipeline.
  • Software Development : Write clean, maintainable, and efficient code aligned with architectural and design standards.
  • Containerization : Develop and manage Docker containers; integrate with Kubernetes and Argo Workflows.
  • CI / CD : Build and maintain continuous integration and deployment pipelines to ensure robust and secure software releases.
  • Cross-functional Collaboration : Work across teams to deliver scalable, efficient, and reliable systems.

Qualifications & Experience

  • Experience : Considerable experience software engineering, with expertise in computer vision, image processing, or ML engineering.
  • Versatility : Proficient in multiple programming languages and adaptable to new technologies.
  • Coding language Deep understanding of computer vision solutions and large-scale image processing systems.
  • DevOps Proficiency : Skilled in Docker, Kubernetes, and CI / CD practices.
  • Big Data Handling : Experience managing large datasets and implementing asynchronous processing solutions.
  • ML in Production : Proven ability to deploy and maintain machine learning models in live environments.
  • Action-Oriented : A bias for execution with a pragmatic approach to building effective and efficient solutions.

What’s Offered

  • A collaborative, self-organized team environment with a flat hierarchy
  • Inclusive and open company culture that values individual contributions
  • Opportunities for peer-to-peer learning and skill-sharing
  • Flexible remote or hybrid work arrangements
  • Modern work equipment tailored to individual needs
  • 30 days of vacation plus additional fixed days off (Christmas and New Year's Eve)
  • Company pension plan with commission-free options
  • Supportive onboarding program including a buddy system and optional in-person welcome in Bonn
  • Regular team events and a relaxed office environment including a coffee lounge
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