(Senior) Lead Research Engineer,ARTC.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development, focusing on deploying machine learning models and implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment and improve the scalability and reliability of systems.

Key Responsibilities:

1. Develop, test, and maintain enterprise systems and applications, with a focus on ML/AI systems.
2. Implement MLOps best practices to automate model training, deployment, and monitoring processes.
3. Optimize and implement machine learning algorithms and deep learning architectures.
4. Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.
5. Optimize AI pipelines for scalability, reliability, and better performance.
6. Conduct performance analysis and optimization to improve model efficiency and accuracy.
7. Stay updated on the latest advancements in software engineering, AI/ML technologies, and best practices.

Job Requirements:

1. Bachelor or Master’s Degree in Computer Science/Engineering or relevant disciplines.
2. Must have a minimum of 5 years of experience as a Software Developer/Engineer.
3. Hands-on experience in Cloud Native Technologies such as microservices, DevSecOps, and Containerization Technologies.
4. Proficiency in designing and developing microservices and software systems using C# .NET, Python, and Angular.
5. A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
6. Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud).
7. Can-do attitude and happy to interface with multiple stakeholders.
8. Excellent troubleshooting, follow-through, and problem-solving skills, with attention to detail.
9. Excellent verbal and written communication skills.
10. Familiarity with deep learning architectures and natural language processing (NLP) techniques.