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Engenious

AI Engineer

Engenious
Poland · Full-time · Mid-Senior

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

Ranked by relevance

ai machine learning cloud containerization microservices restful apis tensorflow devops mlflow nosql flask mlops cicd sql aws gcp etl
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Posted
Jun 13, 2025
Type
Full-time
Level
Mid-Senior
Location
Poland
Company
Engenious

Industries

Information Technology & Services

Categories

Engineering

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