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Browse Open JobsSenior ML Infrastructure / MLOps Engineer (m/w/d)
Summary by AIEngineer.careers
Senior ML Infrastructure / MLOps Engineer (m/w/d) is a MLOps Engineer role (full-time). with Monday.com. in REMOTE, WORLDWIDE. Imported listing (source: flexgen.zya.me). Apply on the employer's site (flexgen.zya.me).
Imported listing (source: flexgen.zya.me) · Apply on flexgen.zya.me
REMOTE · WORLDWIDE
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from flexgen.zya.me
We are seeking a Senior ML Infrastructure/MLOps Engineer to build and operate a model-serving platform. You will integrate various model frameworks, develop inference APIs, and optimize performance. Responsibilities include containerizing and deploying models with Docker and AWS.
Responsibilities
- Build and operate a model-serving platform (e.g., Triton Inference Server)
- Integrate model types and frameworks (PyTorch, TensorFlow)
- Develop inference APIs (batch & streaming)
- Design robust input/output schemas for ML models
- Optimize performance (latency, throughput, GPU utilization)
- Containerize and deploy models (Docker, AWS)
Requirements
- Excellent Python skills (backend/ML runtime)
- Experience with ML inference & serving (Triton, TorchServe)
- Understanding of model inputs/outputs, batching vs streaming, FP32/FP16/quantization
- Proficiency with Docker and productive deployments
- Strong debugging skills in distributed ML systems
- Basic knowledge of CUDA/GPU computing
- Good German and English language skills
Tech Stack
M
Monday.com
רעננה · IL · 3171+ employees
monday.com is an Israeli software company that develops a versatile work management platform and AI work OS. It provides tools for project management, CRM, software development, and workflow automation, enabling teams to plan, track, and execute work efficiently.
