Z

Senior Machine Learning Engineer - AI-Driven Company

ZABEL β€’ Germany
Remote
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AI Summary

Build end-to-end ML systems, collaborate cross-functionally, and deploy models at scale. 3+ years of experience required. Remote within Germany.

Key Highlights
Own the ML lifecycle from prototyping to production
Work on challenging NLP, speech, computer vision, and generative AI applications
Collaborate with data scientists, engineers, and DevOps teams
Key Responsibilities
Build end-to-end ML systems from data ingestion to production deployment
Deploy ML models into production environments
Design scalable inference pipelines using modern serving frameworks
Create evaluation frameworks with meaningful quality, latency, and cost metrics
Implement RAG pipelines using vector databases
Build streaming and real-time analytics pipelines
Optimize models for performance, scalability, and infrastructure efficiency
Contribute to MLOps processes including monitoring, A/B testing, and lifecycle management
Work closely with cross-functional engineering teams to bring AI solutions into production
Technical Skills Required
Python Machine Learning MLOps
Benefits & Perks
€90,000–€120,000 gross per year
100% remote within Germany
Work on production-grade AI systems
Nice to Have
Experience with LLMs and RAG systems
Triton, ONNX, TensorRT or CUDA
Kafka, Spark, Ray, Flink or Beam
MLflow or similar MLOps tools
Experience in regulated or high-security environments
German language skills (B1+)

Job Description


Machine Learning Engineer (m/f/d)


πŸ’° Salary: €90,000–€120,000 gross per year (depending on experience)

πŸ“ Location: Remote within Germany


About the Role

We're looking for an experienced Machine Learning Engineer to join an AI-driven company building production-ready machine learning systems at scale.

You'll take ownership of the entire ML lifecycleβ€”from prototyping and evaluation to deployment and productionβ€”working on challenging applications across NLP, speech, computer vision and generative AI. You'll collaborate closely with Data Scientists, Data Engineers and DevOps teams to build reliable, scalable solutions that create real business impact.


Your Responsibilities

  • Build end-to-end machine learning systems, from data ingestion to production deployment
  • Develop and deploy ML models into production environments
  • Design scalable inference pipelines using modern serving frameworks
  • Create evaluation frameworks with meaningful quality, latency and cost metrics
  • Implement RAG pipelines using vector databases
  • Build streaming and real-time analytics pipelines
  • Optimize models for performance, scalability and infrastructure efficiency
  • Contribute to MLOps processes including monitoring, A/B testing and lifecycle management
  • Work closely with cross-functional engineering teams to bring AI solutions into production


What We're Looking For

βœ” 3+ years of experience as a Machine Learning Engineer or in a similar role

βœ” Strong Python skills with hands-on experience in PyTorch and/or TensorFlow

βœ” Proven experience deploying ML models into production

βœ” Docker and Kubernetes experience

βœ” Experience building API-based ML services and CI/CD pipelines

βœ” Strong understanding of MLOps, monitoring and experiment tracking

βœ” Ability to build reliable, scalable and production-ready ML systems

βœ” Based in Germany with valid work authorization


Nice to Have

  • Experience with LLMs and RAG systems
  • Triton, ONNX, TensorRT or CUDA
  • Kafka, Spark, Ray, Flink or Beam
  • MLflow or similar MLOps tools
  • Experience in regulated or high-security environments
  • German language skills (B1+)


What You'll Get

βœ… Competitive salary between €90,000 and €120,000

βœ… 100% remote within Germany

βœ… Work on production-grade AI systems with real-world impact

βœ… Modern ML stack, GPU infrastructure and cutting-edge tooling

βœ… High ownership and visibility across engineering teams

βœ… Opportunity to shape ML and MLOps best practices

βœ… 30 days of annual leave plus learning budget and equipment


Interested?

I'd love to tell you more about this opportunity.


Elena Fiordellisi

Talent Partner – Data, AI & Analytics | ZABEL GmbH

πŸ“§ [email protected]

Or simply send me a message here on LinkedIn.


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