Lead/Senior AI/ML Engineer, R&D – Computer Vision (m/f/d)

DÜRR DENTAL SE; Subang Jaya; On-site; MYR 90,000 - 150,000; Full time

Benefits offered by this job

Latest technologies

Cloud-based AI solution

International team

Modern office

Job summary

DÜRR DENTAL South East-Asia SDN BHD is expanding its software development presence in Malaysia to advance AI-based and cloud-based dental software solutions. The role focuses on delivering complex ML pipelines, deep learning for medical imaging, and building robust model serving architectures in a collaborative, international team.

You will work with modern CV libraries, ML frameworks, and experiment-tracking tools, while mentoring engineers and upholding engineering best practices in a

Qualifications

• Experience in machine learning or computer vision.
• Strong Python skills for production-grade code.
• Experience preparing imaging datasets for deep learning and creating train/test splits.
• Ability to design experiments with architectures, losses, baselines, and ablations.
• Understanding of evaluation methodology and applied statistics for model validation.
• Hands-on with CV libraries and ML frameworks.
• Familiarity with experiment tracking tools.
• Excellent communication and cross-functional collaboration.
• Bachelor's or Master’s in STEM or equivalent practical experience.
• Nice to have: medical imaging, active learning, MLOps, or model serving.

Responsibilities

• Deliver complex machine learning pipelines across data preparation, model development, evaluation, deployment, and monitoring.
• Perform applied research on deep learning models for medical image segmentation, detection, and classification.
• Design rigorous evaluation frameworks with meaningful metrics and test sets.
• Collaborate with clinical and annotation teams on labeling strategy and data quality.
• Build and maintain model pipelines for efficient data loading, training, evaluation, and versioned artifacts.
• Design and own the model serving layer including pre-processing, inference, and post-processing.
• Instrument production models with monitoring for prediction quality and data drift.
• Conduct code, design, and experiment reviews and mentor less-experienced engineers.

Skills

Excellent communication skills

Cross-functional collaboration

Problem solving

Teamwork

Education

Bachelor's or Master's degree in STEM

Tools

Python

OpenCV

albumentations

PyTorch

JAX

TensorFlow

MLflow

Weights & Biases

Job description

DÜRR DENTAL South East-Asia SDN BHD is a full sales subsidiary of the German Dürr Dental SE. As technology leader in its field of business, the Dürr Dental group with its more than 1.400 employees develops, produces and sells system solutions and services for the health sector with an annual business turnover of more than € 381 million with customers in 174 countries in 2025 all over the world.

In response to the growing trend of digitalization in the dental industry, we are expanding our software development presence in Malaysia. This strategic expansion aims to enhance our portfolio of AI based and cloud based software solutions for the dental market.

Your Responsibilities:

• deliver complex machine learning pipelines across data preparation, model development, evaluation, deployment, and monitoring
• perform applied research on deep learning models for medical image segmentation, detection, and classification across imaging modalities (e.g. radiographs, CBCT, volumetric data)
• design rigorous evaluation frameworks by preparing clinically meaningful metrics and test sets
• collaborate with clinical and annotation teams on labeling strategy, inter-rater agreement, and active-learning rounds to improve dataset quality
• build and maintain model pipelines to ensure efficient data loading, reproducible training/evaluation, and versioned artifacts
• design and own the model serving layer that includes pre-processing, inference, post-processing, and composition
• instrument production models with monitoring for prediction quality, input drift, and data integrity to feed real-world failure cases back into the data and retraining pipeline
• uphold standards for experimentation and engineering best practices by conducting code, design, and experiment reviews and mentoring less-experienced engineers

Requirements:

• proven experience in machine learning, computer vision, or a related engineering field
• strong proficiency in Python across the scientific and ML stack with the ability to write maintainable, production-grade code
• experience preparing imaging datasets for deep learning and curating well-defined train/test splits that prevent leakage
• ability to design and run modeling experiments — appropriate architectures and loss functions, controlled ablations, and sensible baselines — with sound interpretation of results
• strong understanding of evaluation methodology and applied statistics for model validation
• hands-on experience with CV libraries (e.g. OpenCV, albumentations) and modern ML frameworks (e.g. PyTorch, JAX, Tensorflow)
• familiarity with experiment tracking and reproducibility tooling (e.g. MLflow, Weights & Biases)
• excellent communication skills and cross-functional collaboration
• bachelor's or Master's degree in a STEM field, or equivalent practical experience
• nice to have: medical imaging, active learning, MLOps practices, or model serving frameworks

Our Offer:

• opportunity to work with the latest technologies and tools
• creating a modern cloud-based AI solution
• international team environment
• modern office environment