📍 Москва (м. Крылатское)Офис или гибрид
Специализация
Data Science / Machine Learning
Intel creates world-changing technology that enriches the lives of every person on earth.
They are looking for an experienced software engineer ready for an exciting opportunity to create innovative software technologies for open source project, OpenVINO Toolkit.
In this position you will be working in highly motivated team of software engineers developing world class tools in the area of Deep Learning Model management. The team of professionals will be glad to bring you onboard and help you to learn new technologies, gain good knowledge of Intel Deep Learning SW and HW solutions.
Stack
PythonFlaskCeleryRabbitMQPostgreSQLpytest
Your responsibilities will include, but not be limited to
- Interaction with users to define requirements for new functionality.
- Building the backend Deep Learning Models inventory service with focus on model indexing, comparison, distribution and high availability.
- Complete programming, debugging, testing, validation, documentation and/or deployment of the solution/product.
- Help with integration of service access libraries into consumer applications.
- Fix identified software defects.
Qualifications
- Proficiency in Python 3.x (3+ years experience).
- Programming experience in Back-End development (Flask, Celery, RabbitMQ).
- PostgreSQL database knowledge.
- Experience in development of microservices.
- Experience in OpenAPI (Swagger) standard.
- Experience working with test automation tools (e.g. Pytest).
- Strong knowledge of Algorithms and Data structures.
- Good English skills (spoken and written).
The following skills might be your advantage:
- Experience with NoSQL databases and Elastic stack.
- Programming experience in Front-End development (JavaScript, React, TypeScript, Angular2+).
- Quick learner and be able to handle complex problems related to software development.
- Knowledge of tools and frameworks in the area of Deep Learning (TensorFlow, Caffe, ONNX).
Лидия Бакунина Recruitment Intern
