Artificial Intelligence Engineer

The Role

As an AI Engineer, you will be responsible for the full cycle from start to finish. You’ll be working with real-world healthcare challenges which require strong engineering practices to deliver reliable, scalable, and compliant AI systems in a remote-first environment.

Responsibilities

• Design, develop, and deploy AI/ML models for healthcare applications (e.g., medical imaging, diagnostics, predictive analytics)
• Build and maintain scalable ML pipelines for training, evaluation, and inference
• Work with structured and unstructured healthcare data (clinical records, imaging, sensor data)
• Implement data preprocessing, feature engineering, and transformation workflows tailored to medical datasets
• Ensure data quality, privacy, and compliance (e.g., GDPR, healthcare regulations)
• Optimize models for performance, scalability, and cost-efficiency in production environments
• Collaborate with data engineers and domain experts (clinicians, researchers)
• Deploy models using cloud platforms (AWS, Azure, or GCP) and containerization tools
• Implement monitoring, validation, and testing frameworks for clinical-grade AI systems
• Continuously improve model performance through experimentation and validation
• Contribute to MLOps practices (CI/CD, versioning, reproducibility, auditability)

Your Profile

• 3–6+ years of experience in AI/ML Engineering or related roles
• Strong programming skills in Python
• Experience with ML/DL frameworks (TensorFlow, PyTorch, or similar)
• Solid understanding of machine learning algorithms and evaluation techniques
• Experience building and deploying ML pipelines in production
• Familiarity with data engineering concepts (ETL/ELT, data pipelines)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Experience with containerization (Docker, Kubernetes) is a plus
• Understanding of MLOps practices and tools (MLflow, Airflow, etc.)
• Exposure to healthcare data (medical imaging, EHR, or clinical datasets) is a strong plus
• Awareness of data privacy and regulatory requirements (e.g., GDPR, medical compliance)

The Offer

• Competitive salary and benefits
• Fully remote work environment (Europe-based)
• Opportunity to work on high-impact AI solutions in healthcare
• Strong focus on technical growth, research, and innovation
• Collaborative, multidisciplinary, and distributed engineering culture

If this opportunity excites you, apply today or send your CV and a short cover letter to [email protected].