AI Engineer

This is a remote position.

We are looking for a Machine Learning / AI Engineer to design, develop, and deploy AI systems that solve real-world problems at scale. The ideal candidate combines strong machine learning fundamentals with hands-on production experience, strong engineering skills, and the ability to work independently in an evolving environment.


Your Duties

• Design, develop, and deploy machine learning and AI systems for real-world applications.
  
• Build and optimize custom AI models for domain-specific tasks.
  
• Design and maintain data mining, data preprocessing, and data-labeling pipelines.
  
• Work with large datasets, including feature engineering and data preparation.
  
• Apply machine learning techniques across areas such as LLMs, NLP, computer vision, or other AI domains.
  
• Train, evaluate, optimize, and improve machine learning models.
  
• Develop and maintain model deployment and MLOps pipelines.
  
• Deploy and serve models using cloud platforms and containerized environments.
  
• Use tools such as Docker, Git, and relevant MLOps platforms in collaborative development workflows.
  
• Analyze model performance and identify opportunities for improvement.
  
• Communicate technical concepts and project progress to non-technical stakeholders.
  
  

Requirements

• 2–5 years of hands-on experience building and deploying ML/AI models in production environments.
  
• Strong proficiency in Python.
  
• Practical experience with PyTorch and/or TensorFlow.
  
• Experience designing and architecting custom AI models.
  
• Experience with LLMs, NLP, computer vision, or other AI domains.
  
• Strong understanding of supervised and unsupervised learning, deep learning architectures, optimization, and evaluation metrics.
  
• Experience with data preprocessing, feature engineering, data mining, and data-labeling pipelines.
  
• Familiarity with MLOps tools and model deployment platforms such as MLflow, Kubeflow, or SageMaker.
  
• Knowledge of cloud platforms and services used for model training and serving, such as AWS Lambda.
  
• Experience with Docker and containerized model deployment.
  
• Familiarity with Git and collaborative software development practices.
  
• Strong analytical and problem-solving skills.
  
• Ability to communicate complex technical concepts to non-technical stakeholders.
  
• Curiosity-driven mindset and comfort working with ambiguity.
  

Salary: EUR 4000