📍 Москва (м. Спортивная)Fully remote
Seniority level
Middle-to-Senior
Technologies / Tools
PythonNumpyPandasScikit-learnFastAPITornadoFlaskPostgreSQLRedis
Conundrum provides an Industrial AI software platform to industrial factories helping them to eliminate waste, downtime, increase yield of manufacturing and decrease environmental impact of factories.
Conundrum core technology is a time series processor which allows efficient processing and analysis of signals from industrial sensors and other sources. It helps to better monitor and perform optimization of industrial processes.
What you will do
- Design, develop, test, deploy, maintain and improve software (web services, data processing pipelines Etc.) in Python.
- Participation in the development process improvement by doing internal development tasks that make.
- Our teams more efficient.
- Drive adoption of best practices in code health, testing, and maintainability.
Job Requirements
- Excellent Python programming skills (2+ years of experience).
- Practical skills with data science libraries like NumPy, Pandas, Scikit-learn.
- Practical skills with web frameworks like FastAPI, Tornado, Flask, etc.
- Solid experience of work with relational and noSQL databases (PostgreSQL, Clickhouse, Redis).
- Understanding of computer science algorithms and data structures.
- Understanding of software development life cycle and methodologies.
- Development skills on a Unix or Linux platform (including networks).
- Development skills on a microservices development.
- English – upper-intermediate/advanced.
Nice to have:
- Understanding of machine learning principles.
- Experience with stream processing (Kafka).
- Experience in data engineering, building analytics applications.
- Experience in application performance optimization.
- Experience with one or more general purpose programming languages including but not limited to: Java.
- C/C.
- Solid experience with cloud computing (Azure, AWS, Google Cloud or similar).
What they offer
- Competitive salary.
- Work with a globally leading machine learning team.
- Balanced schedule home-office/company office.
- Attractive equity package as an early employee.
- Location – 10 minutes walk from Sportivnaya Underground Station.
Евгения Кочеткова Manager
