Machine Learning and Data Engineer Wanted

Join mlHealth 360 as a Machine Learning and Data Engineer and drive innovations in radiology. You'll focus on developing data pipelines and deploying top-tier machine learning models. We are on the lookout for an experienced Machine Learning and Data Engineer to become part of mlHealth 360's dynamic team.

The role involves designing robust data architectures and building machine learning models that integrate into production environments. Collaborating with cross-functional teams is essential to deliver impactful, data-driven solutions in healthcare. Key Responsibilities: • Develop and maintain scalable data pipelines for processing • Implement and optimize machine learning models for performance • Ensure data integrity with validation and quality checks • Automate model training and deployment processes • Stay updated with trends in machine learning technologies Requirements: • Bachelor's or master's in a relevant field • 5+ years of industry experience in data engineering and ML • Proficient in SQL and NoSQL databases • Experience with Apache Spark and big data tools • Familiarity with MLOps practices and tools Utilize your expertise in machine learning to significantly impact radiology solutions at mlHealth 360. #J-18808-Ljbffr