Opportunity Description
Advance your career at mlHealth 360 as a Machine Learning Engineer specializing in healthcare solutions. Focus on building data pipelines and deploying AI models for radiology applications.
In this role, you'll collaborate with data scientists and software engineers to design, develop, and maintain robust data pipelines and machine learning models. Your expertise will be crucial for ensuring optimal performance and adherence to clinical performance standards. Collaboration will include managing medical imaging and EHR data to develop high-accuracy models for critical healthcare tasks.
Key Responsibilities:
• Design scalable ETL processes for medical imaging and EHR data
• Build and deploy computer vision and NLP models for anomaly detection
• Optimize ML models to meet FDA and CE regulatory requirements
• Implement rigorous data validation and bias detection processes
• Automate model training using MLOps practices
Requirements:
• 5+ years in data or ML engin...
In this role, you'll collaborate with data scientists and software engineers to design, develop, and maintain robust data pipelines and machine learning models. Your expertise will be crucial for ensuring optimal performance and adherence to clinical performance standards. Collaboration will include managing medical imaging and EHR data to develop high-accuracy models for critical healthcare tasks.
Key Responsibilities:
• Design scalable ETL processes for medical imaging and EHR data
• Build and deploy computer vision and NLP models for anomaly detection
• Optimize ML models to meet FDA and CE regulatory requirements
• Implement rigorous data validation and bias detection processes
• Automate model training using MLOps practices
Requirements:
• 5+ years in data or ML engin...
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