Data Engineer (NLP) @ Evidence Prime

Polsko

Essential requirements:


  • Advanced knowledge of SQL and Python
  • Experience in designing and implementing Big Data solutions (Hadoop, Spark etc.)
  • Practical knowledge of ETL tools and stream processing systems
  • Database design and optimization skills
  • Experience with distributed data storage and processing systems
  • Very good command of English
  • Formal requirements:
    • minimum 5 years of experience as a Data Engineer or similar role
    • masters degree in IT, Data Science, or related field
    • the candidate already lives in Poland and can be formally employed here (UoP)


Nice to haves: 


  • Experience working with medical or scientific data
  • Knowledge of Natural Language Processing (NLP) techniques
  • Experience with knowledge graphs and ontologies
  • Familiarity with agile methodologies
  • Industry certifications (e.g., AWS, Azure, GCP)
  • Experience with containerization systems (Docker, Kubernetes)
  • Good command of Polish

We are seeking an experienced Senior Data Engineer to join our innovative Laser LLM project, aimed at developing an advanced systematic review system powered by large language models. You will join a team responsible for breakthrough solutions in automating medical and scientific literature reviews. The project follows agile methodology and utilizes cutting-edge AI and machine learning technologies.

We offer:


  • Participation in an innovative project using cutting-edge AI technologies
  • The opportunity to work on a project that is demonstratively significant to the general well-being and health of people world-wide
  • International work environment
  • A fully remote or hybrid work (we have an office in Kraków)
  • Flexible working hours
  • Opportunity to publish research results
  • A small, friendly and close-knit team focused on collaboration, primarily working remotely
  • Stability and development opportunities, backed by solid international sales and a grant from PARP
  • Team integration events twice-a-year to connect and celebrate together (optional)
  • Standard perks: Multisport, Luxmed and nerdy memes


Who we are:


We are Evidence Prime, an IT/AI company born from collaboration between McMaster University and a group of dedicated, experienced Polish IT professionals. We have over 10 years of experience in the healthcare field. 

We are currently looking for people for our second product, Laser LLM - the literature review tool that helps our clients make evidence-based decisions effectively. We value safe and well-crafted products.

Recruitment steps:



  1. Share your CV and other things that help us see your brilliance
  2. Complete a short take-home assignment
  3. Meet with the future colleague / manager
  4. Meet with the co-founder
  5. Youre hired :)
,[Design and implement scalable data processing architecture for the Laser LLM system, Create and optimize ETL processes to handle diverse medical and scientific data sources, Manage data quality and integrity throughout the processing pipeline, Collaborate with the AI team on creating and managing training datasets for language models, Implement solutions for efficient processing and analysis of large-scale textual data, Design and maintain data pipelines supporting system multimodality (text + image), Collaborate on system integration with knowledge graphs and medical ontologies, Participate in brainstorming sessions and architectural planning for new features, Mentor junior team members] Requirements: SQL, Python, ETL, Big Data, Hadoop, Spark, Git, Machine learning, Keras, Torch, NLP, scikit-learn, Kubernetes Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects, Free coffee, Bike parking, Shower, Free parking, Startup atmosphere, No dress code.

Kategorie

artificialIntelligence

Detaily o pracovním místě:
Firma: Evidence Prime
Lokalita: Práce v Polsku
Odvětví práce: artificialIntelligence
Pracovní pozice: Data Engineer (NLP) @ Evidence Prime
Směnnost práce fulltime - 40 hours per week
Nástup do práce od: IHNED
Nabízená mzda: neuvedeno
Nabídka přidána: 10. 1. 2025
Pracovní pozice aktivní
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