Medical AI Engineer - Clinical ML & Data Pipelines

PT DAYA CIPTA MANDIRI SOLUSI; Sumur Bandung; On-site; IDR 250,000,000 - 500,000,000; Full time

Job summary

PT DAYA CIPTA MANDIRI SOLUSI is seeking a skilled AI engineer to design and implement cutting-edge AI solutions for healthcare challenges, including disease prediction and clinical decision support.

You will work closely with clinicians, data scientists, and software engineers to build robust data pipelines, train models, and deploy solutions into clinical workflows, while staying current with the latest medical AI advancements.

Qualifications

• Strong proficiency in Python, R, or Java.
• Experience with machine learning libraries and frameworks.
• Understanding of deep learning architectures and training techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
• MSc or PhD in Computer Science, Engineering, or related field with AI experience preferred.

Responsibilities

• Design, develop, and implement cutting-edge AI solutions for healthcare challenges.
• Collaborate with clinicians, data scientists, and software engineers to ensure solutions meet healthcare needs.
• Build and maintain robust data pipelines for ingesting, cleaning, and pre-processing medical data.
• Develop and train machine learning models using supervised and unsupervised learning techniques.
• Evaluate and optimize model performance, ensuring real-world applicability and clinical relevance.
• Participate in the deployment and integration of AI solutions into clinical workflows.
• Stay up-to-date on the latest advancements in medical AI and contribute to the ongoing development of our AI capabilities.

Skills

Python/R/Java

ML libraries

Deep learning

Cloud platforms

Education

MSc/PhD in CS/Engineering or related

Job description

PT DAYA CIPTA MANDIRI SOLUSI is seeking a skilled AI engineer to design and implement cutting-edge AI solutions for healthcare challenges, including disease prediction and clinical decision support.

You will work closely with clinicians, data scientists, and software engineers to build robust data pipelines, train models, and deploy solutions into clinical workflows, while staying current with the latest medical AI advancements.