Responsibilities
- Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.
- Implement MLOps best practices to automate model training, deployment, and monitoring processes.
- Implement and optimize machine learning algorithms and deep learning architectures.
- Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.
- Optimize AI pipelines for scalability, reliability, and performance.
- Conduct performance analysis and optimization to improve model efficiency and accuracy.
- Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices
Requirements
- Bachelor or Master Degree in Computer Science/Engineering or relevant disciplines
- Must have a minimum of 5 years of experience as a Software Developer/Engineer
- Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerisation Technologies
- Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular
- A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
- Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
- Can do attitude and happy to interface with multiple stakeholders
- Excellent troubleshooting, follow-through, and problem solving skills, with attention to detail
- Excellent verbal and written communication skills
- Hands-on experience with machine learning frameworks/libraries
- Understanding of machine learning algorithms and techniques
- Familiarity with deep learning architectures and natural language processing (NLP) techniques.
Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.
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Linda LIM
Registration Number: R1221302
EA Licence No: 06C2859 (MCI Career Services Pte Ltd)