Principal Machine Learning Platform Engineer (Prisma AIRS)
Tasks
- Architect ML inference platform
- Collaborate with architects and product leaders
- Deploy models with automation
- Design scalable low latency resilient inference services
- Establish engineering standards for production ML
- Implement advanced inference optimization
- Lead MLOps best practices
- Lead large scale inference problem solving
- Mentor engineers
- Monitor production ML systems
- Optimize model and system performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Flink | Apache Spark | Azure | C++ | CI/CD | CNN | CUDA | Cloud Computing | Distributed Systems | Docker | GCP | GNN | GitLab CI | Go | Java | Jenkins | Kafka | Kubernetes | LLM | MLOps | Machine Learning | OCI | ONNX | PyTorch | Python | Tekton | TensorFlow | TensorRT | TensorRT-LLM | Transformers | Triton | VLLM
Education
Regions
Countries
States
Cities
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