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  • Data Scientist / AI Engineer
    New
    Python

    Data Scientist / AI Engineer

    Type of work
    Freelance
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      Python

      advanced

      PostgreSQL

      regular

      aws lambda

      regular

      Amazon Bedrock

      regular

      LLM Framework

      regular

      OpenAI

      regular

      Langchain

      regular

      API Development

      regular

      RAGAS

      regular

      Langgraph

      regular

    Job description

    Dear Consultant,


    We are seeking a highly skilled Data Scientist / AI Engineer to join our multinational client's team. This role is ideal for someone with a robust background in data science, machine learning, and artificial intelligence who is passionate about applying these skills to drive innovation in the energy sector.If you're ready to make a meaningful impact in the energy sector using data and AI, we’d love to hear from you!


    Location: Remote (Poland)

    Sector: Energy

    Type: B2B (Poland-based role supporting a German-headquartered client)

    Qualifications

    • Education: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
    • Experience: Minimum of 7+ years of experience as a Data Engineer or AI Engineer.
    • Expertise: Strong foundation in data science, machine learning, and artificial intelligence.


    Core Requirements

    • Proficiency in Python and experience collaborating via Git.
    • Familiarity with LLM frameworks such as LangChain/LangGraph and OpenAI.
    • Experience in building AI evaluation pipelines (e.g., RAGAS, LangSmith).
    • Skilled in API development using AWS Lambda, PostgreSQL, and Amazon Bedrock.

    Optional Skills

    • Experience with Sphinx-based documentation.
    • Proficiency in prototyping applications with Streamlit.

    Responsibilities

    • Data Analysis & Modeling: Analyze large datasets to extract insights, develop predictive models, and identify trends.
    • Machine Learning: Design, develop, and deploy machine learning models, applying statistical techniques to improve model accuracy.
    • Data Preprocessing: Clean, preprocess, and curate data for analysis, ensuring data quality and integrity.
    • Algorithm Development: Develop custom algorithms tailored to specific business challenges, refining them as needed.
    • Collaboration: Work closely with cross-functional teams to translate business requirements into technical solutions.
    • Reporting & Visualization: Present findings to stakeholders through reports and visualizations, offering clear, actionable insights.
    • Continuous Learning: Stay current with AI and machine learning advancements, applying new techniques to enhance processes.

    General Skillset

    • Collaboration & Integration: Work closely with onshore client teams, facilitating occasional low-cost travel for in-person workshops and grooming sessions. (Spain and Germany)
    • Teamwork: Proactively integrate with in-house teams to enable seamless, daily cooperation.
    • Communication: High proficiency in English, with strong engagement in meetings and proactive communication across teams.


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