x
Get our mobile app
Fast & easy access to Jobstore
Use App
Congratulations!
You just received a job recommendation!
check it out now
Browse Jobs
Companies
Campus Hiring
Download App
Jobs in Singapore   »   Jobs in Singapore   »   Maintenance / Repair Job   »   Machine Learning Engineer IT
 banner picture 1  banner picture 2  banner picture 3

Machine Learning Engineer IT

Rapsys Technologies Pte. Ltd.

Rapsys Technologies Pte. Ltd. company logo

1. Drive analytic projects for all pillars of the bank’s treasury and markets department, such as bond analytics, news generation FX trading signals, product recommendation and customer hyper-personalization.

2. Implement and train AI/ ML models and optimize algorithm efficiency (GPU distributed computing, concurrent programming)

3. Write and refactor code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems/ pipelines and perform sub-system integration as required.

4. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.

5. Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

Required Experience

1. Bachelor/ masters in a quantitative discipline, such as Mathematics/Statistics, Business Analytics, Computer Science, Engineering, or equivalent experience.

2. Experience building scalable machine learning system architectures (microservice, distributed, etc.) and big-data pipelines in production.

3. Familiar with Linux OS, Openshift, Kubernetes for container-based deployment.

4. Demonstrable understanding and application of varied AI/ML concepts and models, their mathematical underpinnings, and trade-offs

5. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.

6. Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.

7. Familiar with software development best practices and tools (Agile, Jira, Jenkins, Git)

✱   This job post has expired   ✱

Sharing is Caring

Know others who would be interested in this job?