Senior Research Engineer – MLOps & Embedded Systems (ID: 675445)

We are seeking a highly motivated and experienced Software Engineer with expertise in MLOps and embedded systems to develop scalable, microservices-based applications for autonomous manufacturing. Key Responsibilities: Develop, test, and maintain enterprise systems and ML/AI applications Implement MLOps best practices for model training, deployment, and monitoring Optimize machine learning algorithms and deep learning architectures Collaborate with data scientists and engineers to integrate ML into production systems Design and develop microservices using C# .NET, Python, and Angular Utilize cloud-native technologies, DevSecOps, and containerization Manage CI/CD pipelines using Git, Jenkins, SonarQube, Docker, etc. Deploy and manage microservices on container orchestration platforms Stay current with AI/ML trends and software engineering best practices Requirements: Bachelor’s or Master’s in Computer Science, Engineering, or related field Minimum 5 years of experience in software development Proficient in C# .NET, Python, Angular, and microservices architecture Strong experience with MLOps, machine learning frameworks, and NLP techniques Hands-on with containerization and orchestration (on-prem/public cloud) Familiar with CI/CD tools and DevSecOps practices Excellent problem-solving, communication, and stakeholder engagement skills Interested candidate who wish to apply for the advertised position, please click on “Apply Now”. We regret that only shortlisted candidates will be notified. EA License NO.: 01C4394 By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries J-18808-Ljbffr

Location: Singapore, Pedra Branca, SG

Posted Date: 7/2/2025