ML Engineer with Python knowledge (offline)
Requirements:
— 3+ years of Python engineering and experience in research and development of machine learning and deep learning technologies for real-world products
— Experience of deploying and maintaining machine learning models in production
— Experience with time series analysis
— Experience writing, maintainable, testable, production-grade Python code
— Understanding of different machine learning and deep learning algorithm families and their tradeoffs
— Experience with deep learning libraries and frameworks (Scikit-learn, XGBoost, TensorFlow, Keras, PyTorch, etc.)
— Good knowledge of ML/DL theoretical underpinnings
— Team-player with strong interpersonal skills
Will be a plus:
— Experience of deploying and maintaining machine learning data pipelines in production
— Airflow experience will be a big plus
— Experience with large-scale machine learning (100GB+ datasets)
— Competitive machine learning experience (e.g. Kaggle) could be a plus
Responsibilities:
— Build, maintain, and improve our price large-scale forecasting algorithms and their underlying systems from scratch. Currently, we are in the process of building a new set of services for our new e-commerce analysis platform built on top of AWS/MWS
— Implement end-to-end solutions for batch and real-time algorithms
— Build tooling around monitoring, logging, automated testing, and A/B testing
— Collaborate with your peers and other teams to teach, learn and execute efficiently
— Contribute to improving our processes and engineering culture
We offer multiple benefits, that include:
— Challenging work in an international professional environment
— The long-standing team as this is for a long term project
— Competitive salary
— Flexible work-from-home & remote work policy
— Mastering English language with a native speaker
— 40-hours working week with flexible working hours
— PE accounting and support
— 20 paid vacation days per year
— 14 paid sick leaves per year
— Collaborative friendly team environment
— 3+ years of Python engineering and experience in research and development of machine learning and deep learning technologies for real-world products
— Experience of deploying and maintaining machine learning models in production
— Experience with time series analysis
— Experience writing, maintainable, testable, production-grade Python code
— Understanding of different machine learning and deep learning algorithm families and their tradeoffs
— Experience with deep learning libraries and frameworks (Scikit-learn, XGBoost, TensorFlow, Keras, PyTorch, etc.)
— Good knowledge of ML/DL theoretical underpinnings
— Team-player with strong interpersonal skills
Will be a plus:
— Experience of deploying and maintaining machine learning data pipelines in production
— Airflow experience will be a big plus
— Experience with large-scale machine learning (100GB+ datasets)
— Competitive machine learning experience (e.g. Kaggle) could be a plus
Responsibilities:
— Build, maintain, and improve our price large-scale forecasting algorithms and their underlying systems from scratch. Currently, we are in the process of building a new set of services for our new e-commerce analysis platform built on top of AWS/MWS
— Implement end-to-end solutions for batch and real-time algorithms
— Build tooling around monitoring, logging, automated testing, and A/B testing
— Collaborate with your peers and other teams to teach, learn and execute efficiently
— Contribute to improving our processes and engineering culture
We offer multiple benefits, that include:
— Challenging work in an international professional environment
— The long-standing team as this is for a long term project
— Competitive salary
— Flexible work-from-home & remote work policy
— Mastering English language with a native speaker
— 40-hours working week with flexible working hours
— PE accounting and support
— 20 paid vacation days per year
— 14 paid sick leaves per year
— Collaborative friendly team environment
About Proxet
Proxet is a custom web, mobile and software development company offering customized and tailored technology solutions to a wide range of clients. With over 10 years of experience in building complex solutions for enterprise-level businesses, SMBs, and startups, Proxet has delivered over 100 projects in Healthcare, Marketing, Financial Services, Retail, Real Estate, Aerospace & Automotive verticals. As a custom software development company, Proxet also provides thought leadership and advisory services to fast-growing startups and Fortune 500 companies.About us:
10+ years in software development
4 offices globally
150% company growth within 2 years
200+ engineers & experts
90% of our projects incorporate ML/AI
30+ early-stage & VC-backed startups
Enterprise clients with over $1B+ in revenue
What we do:
— Neural networks
— Computer Vision & Image Recognition
— Natural Language Processing
— Chat Bots
— Data Mining
— Voice Technology
— Big and Small Data Processing
— Building semantic analysis
— iOS and Android development
— Main languages: Java, .Net, Ruby, Python, Scala, JavaScript
Company website:
https://nation.proxet.com/
DOU company page:
https://jobs.dou.ua/companies/proxet/
The job ad is no longer active
Job unpublished on
3 April 2020
Look at the current jobs Data Science Kyiv→
Average salary range of similar jobs in
analytics →
Similar jobs
Machine Learning Engineer at Yellow Media
Czechia, Ukraine $3500-4000
Machine Learning Engineer (Python) at Develux
Poland
All jobs Data Science Kyiv All jobs Rails Reactor