Senior Machine Learning Engineer

  • Full time
  • Prague
  • Posted 4 months ago

Deep Learning (regular)
Amazon AWS (regular)
NLP (regular)
Data Science (advanced)
English (advanced)
Python (master)
Machine Learning (master)
Senior Machine Learning Engineer represents a new category of people-first automation solutions in the wake of frustration with the widespread failure of AI-powered productivity projects to deliver value. We’ve created the world’s first Knowledge Process Automation (KPA) platform to mine unstructured data, operationalize AI-powered insights, and automate results into real-time action for the enterprise. Taking AI-productivity from the lab and into production, the KPA suite is especially useful in highly regulated industries such as the capital markets and insurance verticals, with a business solution flow architecture designed to automate line-of-business problems leveraging the very latest innovations in semantic modelling and natural language processing, all while solving the deployment, scalability, and availability issues that plague most robotic AI initiatives. In a world where enterprises are swimming in data but with very little insight, is putting the power of AI and the advantages of knowledge in the hands of humans.
DeepSee is seeking a self-driven Machine Learning Engineer with experience and a passion for creating and operationalising natural language processing (NLP) machine learning pipelines.  
About you
  • 4+ years experience as a Machine Learning Engineer working with production code (Amazon, Azure, Google, …)
  • 4+ years of experience with Python and knowledge in pandas, matplotlib, scikit-learn 
  • Experience with Natural Language Processing models
  • Experience in data science and EDA
  • Ability to drive technical decisions for ML pipeline for development, maintenance, and deployment
  • Experience with TensorFlow or PyTorch
  • Knowledge of transformers and other deep learning architectures
  • MLOps
  • Financial or Insurance technology background
Education and Experience:
  • Master’s Degree in Computer Science or similar 
  • Proficiency in written and spoken English (min. B2+ level)
We offer:
  • A dynamic and inspiring startup culture
  • Huge possibilities for growth, learning, and self-development
  • Participate in social events, training and work in an international environment 
  • Flexible & remote work  

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