Principal ML Ops Engineer (EMEA Remote)
Pragmatike
Machine Learning Ops Engineer
Software as a Service
Terraform
CI/CD
Machine Learning
Helm Charts
Python
CUDA
Principal
Full-time
Europe
Albania
Armenia
Bosnia and Herzegovina
Croatia
Czech Republic
Estonia
Greece
Italy
Latvia
Apply on RemoteYeah →
You'll be redirected to the original listing.
Description
- Skills: Software as a Service, Terraform, CI/CD, Machine Learning, Helm Charts, Python, CUDA
- Experiences: Principal
- Employments: Full-time
- Locations: Europe (Remote), Albania (Remote), Armenia (Remote), Bosnia and Herzegovina (Remote), Croatia (Remote), Czech Republic (Remote), Estonia (Remote), Greece (Remote), Italy (Remote), Latvia (Remote), Lithuania (Remote), Malta (Remote), Montenegro (Remote), Poland (Remote), Portugal (Remote), Romania (Remote), Serbia (Remote), Spain (Remote), Turkey (Remote), Ukraine (Remote)
Description:
- Fully remote position for a Principal ML Ops Engineer in the EMEA timezone.
- Join a fast-scaling cloud infrastructure startup focused on AI-native cloud services.
- Responsible for building scalable, reliable ML inference platforms for real-time AI applications.
Requirements:
- 4+ years of experience in ML Ops, Platform Engineering, or similar roles.
- Hands-on experience with model serving frameworks (vLLM, TGI, Triton).
- Strong background in container orchestration and GPU-based workloads.
- Proficiency in Python and infrastructure-as-code tools (Terraform, Helm).
- Understanding of distributed systems and production reliability engineering.
- Ability to work independently in a remote-first environment.
Benefits:
- Ownership of critical infrastructure in a rapidly scaling AI-native cloud platform.
- Opportunity to build foundational ML inference systems in a high-growth startup.
- Gain expertise in next-generation AI infrastructure and large-scale model serving.
- Influence core engineering decisions and define best practices for scalability.
Related remote jobs