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    Machine Learning Engineer
    Python
    Pragmile

    Machine Learning Engineer

    Pragmile
    Lublin
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    Permanent, B2B
    Operating mode
    Hybrid

    Tech stack

      English

      advanced

      Machine Learning

      regular

      Git

      regular

      AI

      regular

      Docker

      regular

      Python

      regular

      NLP

      nice to have

    Job description

    Online interview
    Friendly offer

    For our client, a UK-based company with a platform for monitoring and analyzing competition, we are looking for an artificial intelligence enthusiast who will help the client in implementing AI in various aspects of the platform's operation.

     

    Responsibilities:

    👉 Developing and maintaining scalable text data processing solutions

    👉 Implementing, testing and improving natural language processing pipelines 

    👉 Creating and maintaining large text datasets, including parsing, cleaning, analysing, information retrieval and extraction

    👉 Researching, testing, integrating and adapting ML/AI based solution with the platform


    Requirements:

    ✅ Experience in working with production Python code

    ✅ Experience in working with ML/AI related frameworks and packages (NumPy, scikit-learn, PyTorch, TensorFlow, Keras, Pandas, or similar)

    ✅ Experience in working with NLP related tools (NLTK, OpenNLP, Gensim, spaCy, Pattern, or similar)

    ✅ Practical experience in using LLM (GPT)

    ✅ Experience in designing and implementing REST APIs

    ✅ Experience with Git and Docker

    Nice to have:

    ✅ Familiarity with natural language processing NLP concepts


    What we offer

    🚀 Personal development and career advancement opportunities

    🚀 A vibrant, innovative, value-based, international work environment

    🚀 Training budget

    🚀 Private medical care

    🚀 Co-financing of the sports card


    Recruitment stages:

    🔹10-minute phone screening

    🔹 Homework task

    🔹 Feedback to the task

    🔹 Technical & soft interview - about the task, about technologies, about your experience

    🔹 Feedback / decision


    Hybrid work, office in Lublin, 3 days a week from the office, 2 days remotely.