Senior Research Engineer, Smart Virtual Systems
4 days ago
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**:
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 problemsolving 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.
**Type of Employment**: Full-Time
**Minimum Experience**: 5 Years
**Work Location**: 3 Cleantech Loop
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