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Senior Research Engineer, Smart Virtual Systems
$ 4,000 - $ 10,000 / month
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- 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.
- 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.
- Salary: $4,000 to $10,000 (based on experiences)
- Contract Period: 3 Years
- Location: Cleantech Loop Area