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Experienced machine learning and data practitioner: applied research and engineering/MLOps. Background in statistical modeling for astrophysics (PhD). Open to M
by kiliantics 3y ago
Experienced machine learning and data practitioner: applied research and engineering/MLOps. Background in statistical modeling for astrophysics (PhD). Open to MLE/MLOps and certain data science and data engineering roles.
Location: NYC
Remote: yes
Willing to relocate: possibly within Northeast
Technologies:
- Python ML stack
- Pytorch, NVIDIA Triton/TensorRT, Intel OpenVINO, Hydra
- Docker, kubernetes, cloud and on-site deployments
- FastAPI, Flask, Django, some JavaScript
- RabbitMQ, Kafka, Spark
- experience writing performant code in C and julia
Résumé: https://kilianbreathnach.github.io/resume/Walsh_Kilian.pdf https://kilianbreathnach.github.io/resume/Walsh_Kilian.pdf
Email: kiliantics@gmail.com