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 ryan.martin@vividresourcing.com.