Senior Research Engineer, Smart Virtual Systems, ARTC

Agency for Science, Technology and Research (A*STAR); Singapore; On-site; USD 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a motivated Software Engineer with expertise in MLOps and AI. In this pivotal role, you'll develop and maintain scalable microservices-based applications for autonomous manufacturing. Collaborating with cross-functional teams, you'll optimize AI pipelines and implement best practices to enhance model deployment and performance. This position offers a dynamic environment where your contributions can drive significant advancements in technology and manufacturing solutions. If you're ready to tackle exciting challenges and make an impact in the industry, this opportunity is for you.

Qualifications

• 5+ years of experience as a Software Developer/Engineer.
• Hands-on experience with machine learning frameworks and cloud technologies.

Responsibilities

• Develop and maintain enterprise systems focused on ML/AI applications.
• Implement MLOps best practices for model training and deployment.
• Collaborate with teams to integrate machine learning solutions.

Skills

Software Development

MLOps

Machine Learning

Cloud Native Technologies

C# .NET

Python

DevSecOps

Problem Solving

Communication Skills

Education

Bachelor Degree in Computer Science

Master Degree in Computer Science

Tools

Git

Jenkins

Docker

SonarQube

Artifactory

Job description

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 Research Engineer/ Senior 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 and focusing on deploying machine learning models, implementing MLOps best practices. You will work closely with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

• 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.

Job 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.