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CY iT HR
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Tatiana R💃
Tatiana R💃
2023-11-08 09:57 UTC
#job #vacancy #remote #ML #Python #Engineer #Senior #Armenia #Azerbaijan #Bulgaria #Georgia #Hungary #Italy #Kazakhstan #Lituania #Poland #Romania #Spain #Turkey #Ukraine #Uzbekistan #work #работа #удаленно #oferta #trabajo #fulltime
Senior Machine Learning Engineer Just from Armenia, Azerbaijan, Bulgaria, Georgia, Hungary, Italy, Kazakhstan, Lithuania, Poland, Romania, Spain, Turkey, Ukraine, Uzbekistan 💰Salary 34 EU per hour
Remote work, fulltime
🇪🇺Project: The Customer provides business data enrichment with unprecedented coverage of private companies, accurate classification and in-depth insights based on real-time updates, for procurement, insurance, market intelligence and more.
Requirements:
● 7+ years of experience
● Previous experience improving datasets through heuristics, training and optimally deploying your models
● Proficiency with Python, as well as MySQL or any relational database
● Background in ML frameworks, libraries, data structures, data modeling and software architecture
● Knowledge of advanced math and statistical concepts and techniques
● High speed and uncompromising quality in your work
● A growth mindset, able to capitalize on unprecedented contexts through your skills and abilities
● An appetite to grapple with a variety of technical challenges
● The ability to quickly and effectively evaluate technical tradeoffs and translate them into relevant scenarios
● Consistent performance over time coordinated with a matching set of values
English level:
Intermediate+
Nice to Have:
Previous experience with an NLP framework (Transformers, SpaCy) and ML framework (PyTorch, Sklearn, Tensorflow)
Responsibilities:
● Develop new, novel algorithms and techniques for extracting and analyzing (very!) large and complex sets of data
● Gather and build appropriate training datasets to create and improve models
● Train and evaluate your model in a massive parallel environment
● Own your ML models end-to-end, from collecting training data to deployment and monitoring in production
● Optimize your ML solutions for the production environment
● Improve NER extraction and text classification algorithms
● Perform statistical analysis of the real-world results of your models
● Prototype quickly to solve thorny use cases, without getting stuck in theory, as we're prone to shipping early and often
● Write well-designed, testable, efficient code
Identify areas of opportunity and improvement
Сontact: @TaniaRylkina_RedCode
Senior Machine Learning Engineer Just from Armenia, Azerbaijan, Bulgaria, Georgia, Hungary, Italy, Kazakhstan, Lithuania, Poland, Romania, Spain, Turkey, Ukraine, Uzbekistan 💰Salary 34 EU per hour
Remote work, fulltime
🇪🇺Project: The Customer provides business data enrichment with unprecedented coverage of private companies, accurate classification and in-depth insights based on real-time updates, for procurement, insurance, market intelligence and more.
Requirements:
● 7+ years of experience
● Previous experience improving datasets through heuristics, training and optimally deploying your models
● Proficiency with Python, as well as MySQL or any relational database
● Background in ML frameworks, libraries, data structures, data modeling and software architecture
● Knowledge of advanced math and statistical concepts and techniques
● High speed and uncompromising quality in your work
● A growth mindset, able to capitalize on unprecedented contexts through your skills and abilities
● An appetite to grapple with a variety of technical challenges
● The ability to quickly and effectively evaluate technical tradeoffs and translate them into relevant scenarios
● Consistent performance over time coordinated with a matching set of values
English level:
Intermediate+
Nice to Have:
Previous experience with an NLP framework (Transformers, SpaCy) and ML framework (PyTorch, Sklearn, Tensorflow)
Responsibilities:
● Develop new, novel algorithms and techniques for extracting and analyzing (very!) large and complex sets of data
● Gather and build appropriate training datasets to create and improve models
● Train and evaluate your model in a massive parallel environment
● Own your ML models end-to-end, from collecting training data to deployment and monitoring in production
● Optimize your ML solutions for the production environment
● Improve NER extraction and text classification algorithms
● Perform statistical analysis of the real-world results of your models
● Prototype quickly to solve thorny use cases, without getting stuck in theory, as we're prone to shipping early and often
● Write well-designed, testable, efficient code
Identify areas of opportunity and improvement
Сontact: @TaniaRylkina_RedCode
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