Description
- Implement internal machine learning software infrastructure
- Integrate existing open-source tools in order to facilitate ML research
- Interface our proprietary platform with large data sets and customer platforms
- Contribute to the our proprietary code base
Minimum Qualifications
- Masters in computer science
- 2 years in the industry, experience with IT systems
- Experience with parallel computing architectures
- “DevOps”
- Command of C/C++ and Python
- Knowledge of Unix environment, GNU/Linux
- Engineering mindset
- Large data management skills
- Fluent in written and spoken English
Pluses
- Theoretical knowledge of machine learning methods (deep learning, reinforcement learning, evolutionary computation)
- Experience of machine learning frameworks (TensorFlow, PyTorch)
- Experience with containers and orchestration (Docker, Kubernetes, OpenStack)
- Experience with cluster environments (e.g. SGE, Condor)
- Experience with GPU programming (Cuda, OpenCL, Metal)
Contact
E-mail: jobs@nnaisense.com
Submit both your cover letter and resume in English, PDF format
