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6+ years of experience in one or more of the following areas: machine learning, pattern recognition, data mining, artificial intelligence, or related technical fields development and debugging knowledge in Python or C/C++ li> knowledge of one of the following frameworks: PyTorch, TensorRT, ONNX or similar experience running inference servers (such as Triton or TorchServe) in Kubernetes clusters ability to write efficient , clean and maintainable code in Python and PyTorch knowledge of cloud platforms such as AWS, Azure or GCP strong communication, collaboration and documentation skills processing experience real-time video in the cloud would be an advantage experience with edge inference and model compression techniques (quantization, distillation, etc.) would be an advantage experience with Kubeflow would be an advantage experience building distributed training pipelines and ML solutions from scratch would be an advantage
ML Engineer / MLOps in GO "Aerorozvidka"
Posted more than 30 days ago
207 views
GO "Aerorozvidka"
Without experience
Kyiv
July 26, 2024
miltech ML Engineer / MLOps Kyiv The vacancy involves service in one of the special units of the Defense Forces. RESPONSIBILITIES implementation of machine learning models of various types in highly loaded systems adaptation of standard machine learning methods for efficient use of modern parallel environments (for example, distributed clusters, multi-core SMPs and GPUs) collaboration with leading product and engineering teams to implement cutting-edge AI research in
July 26, 2024 miltech
ML Engineer / MLOps
Kyiv
The vacancy involves service in one of the special units of the Defense Forces.
RESPONSIBILITIES
- implementation of machine learning models of various types in highly loaded systems
- adaptation of standard machine learning methods for efficient use of modern parallel environments (for example, distributed clusters, multi-core SMPs and GPUs)
- collaboration with leading product and engineering teams to implement cutting-edge AI research in support of the Defense Forces
- implementation of example technical standards to develop ML best practices and impact on engineering culture
- re-evaluation of trade-offs of already implemented ML functions/systems, implementation of technical debt reduction initiatives involving one or more teams
REQUIREMENTS
< ul>CONDITIONS
- contract service until the end of martial law >
- polygraph at the final stage
- service in the office in the city of Kyiv, 5 days a week
