Eligibility: Graduate
Experience: 2 Years
Job Location: Remote, India
Company Profile:
Qubrid is an advanced Quantum Computing and Artificial Intelligence (AI) company with a mission to solve real world complex problems in multiple industries. Our leading cutting-edge cloud platform harnesses the power of hybrid quantum-classical computing to efficiently develop and run next generation Quantum algorithms on Quantum Processing Units (QPU), CPU and GPU computing infrastructure.
Skills:
- Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)
- Strong software engineering skills in complex, multi-language systems
- Fluency in Python
- Comfort with Linux administration
- Experience working with cloud computing and database systems
- Experience building custom integrations between cloud-based systems using APIs
- Experience developing and maintaining ML systems built with open source tools
- Experience developing with containers and Kubernetes in cloud computing environments
- Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)
- Ability to translate business needs to technical requirements
- Strong understanding of software testing, benchmarking, and continuous integration
- Exposure to machine learning methodology and best practices
- Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
Join us on Telegram For More Updates: https://t.me/nareshit
To apply for this job please visit www.qubrid.com.