Medical Artificial Intelligence (AI) Engineer

PT Daya Medika Pratama; Kota Bandung; Hybrid; IDR 180,000,000 - 360,000,000; Full time

Job summary

PT Daya Medika Pratama seeks a Medical AI Engineer to design, develop, and deploy AI solutions for healthcare challenges, including disease prediction and medical image analysis. You will collaborate with clinicians and data scientists to translate clinical needs into robust data pipelines and model solutions.

The role requires strong programming skills (Python, R, Java), experience with ML libraries, and a MSc or PhD in a related field. Remote/on-site options offered in Bandung area.

Qualifications

• MSc or PhD in Computer Science, Engineering, or related field; AI experience preferred.
• Knowledge of medical terminology and healthcare processes is beneficial.

Responsibilities

• Design and implement AI solutions for healthcare challenges.
• Collaborate with clinicians, data scientists, and software engineers.
• Build and maintain data pipelines for medical data.
• Develop and train ML models.
• Evaluate, optimize, and deploy AI in clinical workflows.
• Stay up-to-date with medical AI advancements.

Skills

Python

R

Java

Education

MSc in Computer Science

PhD in Computer Science or related field

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Job description

Medical Artificial Intelligence (AI) Engineer

Simpan

Remote/On-site

Responsibilities

Design, develop, and implement cutting-edge AI solutions for a range of healthcare challenges, including disease prediction, clinical decision support, and medical image analysis.

Collaborate closely with clinicians, data scientists, and software engineers to ensure your solutions meet the needs of the healthcare community.

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.

S2, S1, D3

Skills and Qualifications

Technical Expertise:

Strong proficiency in programming languages like Python, R, or Java.

Experience with machine learning libraries and frameworks

Understanding of deep learning architectures and model training techniques.

Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.

Domain Knowledge:

Basic understanding of medical terminology and healthcare processes.

Ability to interpret and analyze medical data responsibly.

Additional Skills:

Excellent communication and collaboration skills.

Problem-solving and critical thinking abilities.

Attention to detail and strong work ethic.

MSc or PhD in Computer Science, Engineering, or a related field, with experience in AI, is preferred.