DataObrii

Joined in 2018
85% answers

DataObrii is a high-tech consulting firm specializing in data science, machine learning, and AI-augmented Internet of Things. Our team comprises experienced data scientists, python engineers, devops, hardware electrical engineers, and business analysts dedicated to delivering innovative, data-driven solutions that enhance business intelligence and efficiency. We emphasize continuous improvement, keeping up with current and emerging technologies, and delivering complete timely, effective solutions.

Our Values:

  • Efficiency: We employ an agile approach to ensure timely delivery of high-quality solutions. This governs fast delivery cycles, quick and efficient solutions, iteratively going from PoC developments to fully enhanced production systems.
  • Professionalism: Our commitment to excellence drives us to achieve success for our clients. This includes both technical and ethical proficiency required from all our employees.
  • Creativity: We utilize design thinking to develop innovative solutions that address complex business challenges.
  • Care: We invest time in understanding our clients' business models to provide tailored solutions that align with their objectives.
  • · 141 views · 28 applications · 8d

    Python Developer / ML Engineer

    Full Remote · Countries of Europe or Ukraine · Product · 1 year of experience · B1 - Intermediate
    Role Overview: We are seeking a Python Developer with Machine Learning engineering skills and at least one year of professional experience. In this role, you will work on data processing with pandas and numpy, Redis-based caching, test automation with...

    Role Overview:
    We are seeking a Python Developer with Machine Learning engineering skills and at least one year of professional experience.
    In this role, you will work on data processing with pandas and numpy, Redis-based caching, test automation with pytest, and OOP-based Python development. You will also support the integration of machine learning models into production systems. 

     

    This position is ideal for someone who wants to grow their career into ML & ML Ops while gaining hands-on experience in a production environment.

     

    Key Responsibilities:

    • Develop and maintain Python modules for data processing and integration.
    • Handle structured datasets using Pandas and NumPy.
    • Implement and optimise Redis caching for high-performance applications.
    • Write unit and integration tests with Pytest to ensure system reliability.
    • Apply OOP best practices for scalable, maintainable, and clean code.
    • Use Git for version control and collaborative workflows.
    • Support integration of ML models into production environments.
    • Participate in code reviews, debugging, and documentation.

       

    Required Skills and Qualifications:

    • 1+ years of professional experience as a Python Developer.
    • Practical experience in Machine Learning engineering (e.g., scikit-learn, scikit-learn pipelines)
    • Strong understanding of OOP principles.
    • Strong, hands-on experience with Pandas and NumPy, including advanced data manipulation, aggregation, and performance optimization techniques.
    • Familiarity with Redis or other caching technologies.
    • Experience writing and maintaining tests using Pytest.
    • Proficiency in Git and collaborative development workflows.
    • Strong problem-solving skills and eagerness to learn.

       

    Preferred (Nice to Have):

    • Familiarity with MLOps concepts (deployment, monitoring, pipelines).
    • Experience with Docker or cloud platforms (AWS, Azure, GCP).
    • Knowledge of CI/CD practices.

     

    About the Project:
    We are developing a large-scale insurance pricing optimisation platform that brings together data pipelines, APIs, Redis caching, and MLOps infrastructure to deliver real-time pricing decisions for our partners.

     

    About DataObrii:
    DataObrii is a high-tech consulting firm specialising in data science, machine learning, and AI-augmented Internet of Things. Our team comprises experienced data scientists, Python engineers, DevOps, hardware electrical engineers, and business analysts dedicated to delivering innovative, data-driven solutions that enhance business intelligence and efficiency. We emphasize continuous improvement, keeping up with current and emerging technologies, and delivering complete timely, effective solutions.

     

    What We Offer:

    • Opportunity to work on a real-world production ML platform.
    • Mentorship from senior Data Scientists and ML Engineers.
    • Clear growth path into Machine Learning specialisation.
    • Fully remote work environment.
    • Competitive compensation package.

       

    If you are a motivated Python Developer / ML Engineer with 1+ years of professional experience and want to grow your career in Machine Learning, we’d love to hear from you!


     

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