Healthcare AI MLOps Engineer for Production

BloodFlow; Lisboa; Presencial; EUR 50 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive compensation and benefits package

Professional development and training opportunities

Equity participation

Resumo da oferta

A healthcare AI company in Lisbon is seeking an MLOps Engineer to build and maintain ML infrastructure and ensure reliable performance for their AI systems. The role emphasizes deploying AI models in production and ongoing performance monitoring. Candidates should have substantial experience with tools like Kubernetes and Docker, and a passion for advancing healthcare technology through AI. Competitive compensation and benefits are offered.

Qualificações

• 3+ years experience in DevOps, MLOps, or production ML systems.
• Strong expertise in Kubernetes, Docker, and cloud platforms.
• Experience with CI/CD pipelines, monitoring tools, and infrastructure as code.
• Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow).
• Understanding of model deployment patterns and microservices architecture.
• Experience with version control, testing, and automation.
• Experience in healthcare technology or regulated environments.
• Knowledge of MLOps tools like MLflow, Kubeflow, or similar platforms.
• Understanding of GDPR, HIPAA, or medical device compliance.
• Experience with vector databases and LLM deployment.
• Background in site reliability engineering (SRE).

Responsabilidades

• Build and maintain ML infrastructure using Kubernetes, Docker, and cloud services.
• Implement CI/CD pipelines for AI model deployment and updates.
• Design scalable architectures for both cloud and on-premise deployments.
• Manage model versioning, rollbacks, and A/B testing infrastructure.
• Implement comprehensive monitoring for model performance and drift detection.
• Build dashboards and alerting systems for production AI systems.
• Track key metrics: latency, accuracy, throughput, and resource utilization.
• Ensure compliance with healthcare audit and traceability requirements.
• Implement security best practices for AI model deployment.
• Ensure GDPR compliance and data privacy in ML pipelines.
• Support regulatory requirements for medical device certification.
• Manage secure data handling and model access controls.

Conhecimentos

DevOps

MLOps

Kubernetes

Docker

Cloud platforms

Python

ML frameworks

CI/CD pipelines

Monitoring tools

Infrastructure as code

Healthcare technology

Regulatory environments

GDPR

HIPAA

Vector databases

Site reliability engineering

Descrição da oferta de emprego

A healthcare AI company in Lisbon is seeking an MLOps Engineer to build and maintain ML infrastructure and ensure reliable performance for their AI systems. The role emphasizes deploying AI models in production and ongoing performance monitoring. Candidates should have substantial experience with tools like Kubernetes and Docker, and a passion for advancing healthcare technology through AI. Competitive compensation and benefits are offered.