Python Developer / ML Engineer
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.
- Hands-on experience with Pandas and NumPy.
- 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!
Required skills experience
Python | 2 years |
Pandas | 1 year |
numpy | 1 year |
Redis | 1 year |
PyTest | 1 year |
Git | 1 year |
scikit-learn | 6 months |
Required domain experience
Machine Learning / Big Data | 6 months |
Required languages
English | B1 - Intermediate |
Ukrainian | Native |