Machine Learning Engineer (m/f/d)

DURR DENTAL; Kuala Selangor; On-site; MYR 250,000 - 300,000; Full time

Job summary

A leading dental technology company in Kuala Selangor is seeking a professional to design and maintain scalable ML infrastructure. Responsibilities include working with data scientists to integrate machine learning models and ensuring compliance with standards. Candidates should hold a degree in STEM and possess proven experience with ML Ops tools, cloud computing, and container technologies. This role offers a dynamic work environment and the chance to work on innovative cloud-based AI solutions.

Benefits

Opportunity to work with latest technologies

Modern cloud-based AI solutions

International team environment

Modern office environment

Qualifications

• Proven experience with ML Ops tools and principles in production environments.
• Hands-on experience with DevOps and container technologies.
• Proficiency in cloud computing and CI/CD pipelines.

Responsibilities

• Design, build, and maintain scalable ML infrastructure and pipelines.
• Collaborate with data scientists to integrate machine learning models.
• Ensure reproducibility and monitoring of models per standards.

Skills

ML Ops tools and principles

DevOps and container technologies

Cloud computing and CI/CD pipelines

REST API design

Machine learning frameworks

Agile methodologies

Problem-solving skills

Collaboration skills

Education

Bachelor’s or Master’s degree in a STEM field

Tools

Git

Docker

Kubernetes

AWS

Azure

Google Cloud

Job description

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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 1,350 employees develops, produces and sells system solutions and services for the health sector with an annual business turnover of more than € 374 million with customers in 174 countries in 2024 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 software solutions for the dental market.

Your Responsibilities:

design, build and maintain scalable, secure and reliable ML infrastructure and pipelines

collaborate with data scientists to train and integrate machine learning models into production-ready services

ensure reproducibility, versioning, monitoring and governance of models in compliance with internal and external standards

focus on business needs, evaluate via data driven approach

foster a culture of collaboration and continuous learning within the team

Requirements:

bachelor’s or master’s degree in a STEM field (Science, Technology, Engineering, Mathematics)

proven experience with ML Ops tools and principles, especially in production environments

hands-on experience with DevOps and container technologies, such as Git, Docker/Podman, Kubernetes

proficiency in cloud computing and CI/CD pipelines, such as AWS, Azure, Google Cloud

proficiency in REST API design, development and security

experience with machine learning frameworks, familiarity with computer vision is a plus

understanding of EU/US regulations on medical devices and AI is beneficial

experience in handling large datasets and/or building data lakes is an asset

knowledge of design principles, usability best practices, and accessibility standards is a plus

strong problem-solving skills and attention to detail

experience with agile methodologies and modern development workflows

excellent written and verbal communication abilities

excellent teamwork and collaboration skills

Our Offer:

opportunity to work with the latest technologies and tools

creating a modern cloud-based AI solution

international team environment

modern office environment

If you want to be part of a dynamic company that values and encourages its employees, please submit your full application including salary expectation and earliest starting date online: duerr-career.com.

We look forward to hearing from you and learning more about your skills and ambitions.

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