• 63% Senior technical staff; • HQ in Silicon Valley, offices in Ukraine and Vietnam; • 100% of team members are allowed to work from anywhere, literally; • Startup engineering culture, the latest technologies.
3 декабря 2019

Senior Python Developer (вакансия неактивна)


Необходимые навыки

● 6+ years of experience in software development
● Strong track record delivering high-quality Python code
● Experience with modern software testing methodologies
● Hands-on experience working with databases: sharding, etc.
● Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
● At least Intermediate English

Будет плюсом

● Natural language processing
● Fundamental knowledge of Machine Learning
● Docker and Kubernetes
● Google AI platform


Why work with us?
● Life at Waverley means collaborating with dedicated professionals, passionate about technology
● Our people demonstrate outstanding engineering culture through constant learning and knowledge-sharing
● We value Responsible Freedom, which means we evaluate the results and have flexibility in work style or locations

We offer:
● A chance to contribute to the cutting edge of Silicon Valley software development
● Possibility to work in a startup-like atmosphere, in a new and growing team
● Modern office, comfortable work environment, the best tools
● Competitive compensation
● Friendly inspiring atmosphere


● Develop and maintain our data pipeline
● Develop infrastructure for training, evaluating and deploying ML models
● Develop internal data analysis tools

Tech stack: Python3, Keras, Tensorflow, scikit-learn

О проекте

About the client:

Our client develops an ML-driven platform that empowers companies to take charge of product quality in real-time. Using machine learning to analyze data, it collates, translates and categorizes bugs to ensure the quality and stability of any product.

Position description:

Our client is looking for a savvy ML Engineer to join our growing team of analytics experts. The Engineer will be responsible for architecting, implementing and maintaining our data pipeline, building infrastructure for training and evaluating ML models as well as internal tools for data analysis . The ideal candidate should have experience productizing Keras and Tensorflow models and delivering high-quality, efficient and maintainable Python code. The ML Engineer will work closely with our Data Scientists to ensure optimal data pipeline architecture.

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