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Senior AI ML Engineer
  • Warszawa
Senior AI ML Engineer
Warszawa, Warszawa, mazowieckie, Polska
Sii
16. 5. 2024
Informacje o stanowisku

Join Sii and help develop highly specialized software and IT tools for legal, tax, accounting, trading, and compliance professionals, in conjunction with the worlds largest information service!

As a Senior AI/ML Engineer, you will be part of a global interdisciplinary team of experts driving the companys digital transformation. We are looking for a flexible individual who can think in code and enjoys learning and developing new skills!

Your role

  • Creating and delivering modern software in line with the entire software lifecycle
  • Developing scalable ML solutions and creating large-scale data processing pipelines to help researchers build and train novel machine learning algorithms
  • Working in a team-oriented environment, sharing information, valuing diverse ideas, and collaborating with interdisciplinary and remote teams
  • Contributing innovative ideas, creating solutions, and effectively expressing ideas for technical development
  • Providing development in Python for production applications, container deployments with Docker, and test-driven development
  • Emphasizing highly flexible workflow and close collaboration with applied scientists in a dynamic R&D environment
  • Appling, integrating, and deploying Machine Learning capabilities and techniques into other systems

Your skills

  • Experience integrating Machine Learning solutions into production-grade software and understanding of ModelOps, and MLOps principles
  • Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform) 
  • Previous exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
  • Understanding and translating between language and methodologies used both in research and engineering fields 
  • Have been successfully taking and integrating Machine Learning solutions to production-grade software
  • Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.)
  • Fluency in English


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