We are seeking a skilled and motivated AI Engineer to join our team. The ideal candidate will have hands-on experience with Python programming, machine learning algorithms, cloud services (Azure), and backend systems. You will be responsible for developing, deploying, and maintaining AI-powered solutions that drive business value and innovation.
Key Responsibilities:
- Design, develop, and deploy machine learning models and AI systems for various business applications.
- Implement and maintain scalable backend services to support AI workflows and data pipelines.
- Collaborate with data scientists, product managers, and software engineers to integrate AI models into production environments.
- Utilize Microsoft Azure services (e.g., Azure Machine Learning, Azure Functions, Azure DevOps) to manage infrastructure, deployment, and model serving.
- Monitor model performance and retrain models as needed to ensure accuracy and relevance.
- Write clean, maintainable, and well-documented code in Python.
- Conduct code reviews, testing, and debugging for both AI components and backend systems.
- Stay up to date with the latest developments in AI, ML, and cloud technologies.
Required Qualifications:
- Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- 3+ years of experience in machine learning, data science, or AI engineering.
- Proficient in Python and common ML libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
- Strong experience with Azure cloud services, especially those related to AI and DevOps.
- Solid understanding of backend development using frameworks like FastAPI, Flask, Django, or equivalent.
- Experience with RESTful APIs, microservices, and containerization tools like Docker.
- Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
Preferred Qualifications:
- Experience with MLOps practices and tools (e.g., MLflow, Azure ML Pipelines).
- Knowledge of data engineering and ETL pipelines.
- Familiarity with other cloud platforms (AWS, GCP) is a plus.
- Experience with databases (SQL and NoSQL) and data modeling.
What We Offer:
- Team of passionate people who love what they do
- Opportunity to learn and grow
- Possibility to work fully remotely
- Private Medical Care - Interpolska
- Co-funded Multisport Card
- Possible training or certification subsidies
- Rate: 190 - 220 PLN net/h
Key Skills
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- Posted
- Jun 13, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Poland
- Company
- Engenious
Industries
Categories
Related Jobs
3 roles aligned with this opportunity
Machine Learning Engineer - Allegro Pay
2026-06-18
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2026-06-16
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