Veridion

Machine Learning Engineer

Bucharest, Bucharest, RO

19 days ago
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Summary

You will craft custom ML-based solutions, focused on NLP and text processing, then fit them on TBs of data. You will work with cutting-edge architectures and techniques, then deploy your models in a massively parallel Big Data environment. You will be required to make domain-specific, data-oriented decisions, based on a vast and complete world-view.


We understand perfecting skills such as Apache Spark, Apache Cassandra, HDFS & other Big Data tools is not easy, so we only expect persistence and a proactive interest in learning them, since they are definite musts for you to succeed in this role.


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


Qualifications

  • Previous experience improving datasets through heuristics, training and optimally deploying your models
  • Proficiency with Python, as well as MySQL or any relational database
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling and software architecture
  • Knowledge of advanced math and statistical concepts and techniques
  • Previous experience with an NLP framework (Transformers, SpaCy) and ML framework (PyTorch, Sklearn, Tensorflow) would be a plus


What's in it for you

  • Pioneering work at the forefront of Big Data, Infrastructure and Machine Learning that sometimes means relying on academic papers as our only formal guiding tools in moving onwards
  • The chance to shape an original product in a fast growing company, backed by VC investors
  • A merit-based, no BS, value-oriented and particularly collaborative work environment
  • Fair compensation, ESOP and upward salary growth based on performance.
  • Groundbreaking professional challenges and the autonomy to try stuff for the very first time, no matter how experienced you are
  • The promise to use the right tool for the job to be able to channel your efforts on what can’t be compensated for — the best use of your skills and abilities.
  • The space to try new things out (your way) paired with the freedom to make reasoned decisions and own them


What we expect from you in return

  • 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
  • Strong problem solving skills that enhance the way you deal with the tension between brief and shipping
  • Aversion to the idea of any customer or colleague struggling with what you delivered
  • High tolerance for ambiguity, marked by your ambition to push forward with incomplete information
  • Resilience, especially in front of failure, that is always paired with pioneering work


Recruitment process

  • A home assignment
  • 2 discussions, one of which is face to face and includes a live task


We need people who are zealous about revolutionary technology, highly collaborative work and raising the bar on our product as it is unfolding. If you're excited about our mission, but don't yet meet 100% of the qualifications above, we still encourage you to apply.

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