Machine Learnings Operations/AL Research Engineer (ID: 675445) - #1099493

Software Engineer (MLOps/AI) to join our client's research innovative team. This role focuses on building scalable, microservices-based platforms and deploying machine learning models for semi conductor/ autonomous manufacturing applications. You will work closely with cross-functional research teams to streamline ML model deployment and ensure system scalability and reliability.

Key Responsibilities:

• Design, develop, test, and maintain enterprise-grade applications, with a strong focus on ML/AI systems.

• Implement MLOps best practices to automate model training, deployment, and monitoring workflows.

• Integrate machine learning solutions into existing platforms in collaboration with data scientists and software engineers.

• Optimize AI pipelines for performance, scalability, and reliability.

• Conduct performance tuning and model optimization to enhance accuracy and efficiency.

• Stay current with the latest trends in software engineering, AI/ML technologies, and development practices.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.

• Minimum 5 years of experience as a Software Developer/Engineer.Proficiency in C# .NET, Python, and Angular for software and microservices development. Good to have some research development experience in protype.

• Strong hands-on experience with cloud-native technologies, including microservices, DevSecOps, and containerization.

• Solid understanding of CI/CD pipelines and tools such as Git, Jenkins, Artifactory, SonarQube, and Docker.

• Experience deploying and managing microservices using container orchestration platforms (on-premise or cloud-based).

• Practical experience with machine learning frameworks and libraries.

• Familiarity with ML algorithms, deep learning architectures, and NLP techniques.

Interested candidate who wish to apply for the advertised position, please click on “Apply Now”.

We regret that only shortlisted candidates will be notified.

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