Machine Learning Engineer

3 days ago

Singapore NodeFlair Full time

**Job Summary**:
**Salary**
S$6,000 - S$8,000 / Monthly

**Job Type**

**Seniority**

Mid

**Years of Experience**
At least 3 years

**Tech Stacks**
Jenkins Analytics CI Git Linux Openshift Kubernetes SQL Python

**Role**: Machine Learning Engineer -** 12 months Renewable contract**

**Experience**: Minimum of 5 years

**Location : Marina Bay Financial Centre**

**Benefits**:

- Renewable contract (Performance-based, with possibility of conversion to perm)
- Medical Insurance Coverage
- Leave credits
- Performance Bonus

**Responsibilities**
- 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.
- Implement and train AI/ ML models and optimize algorithm efficiency (GPU distributed computing, concurrent programming)
- Write and refactor code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems/ pipelines and perform sub-system integration as required.
- 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.
- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

**Required Experience**
- Bachelor/ masters in a quantitative discipline, such as Mathematics/Statistics, Business Analytics, Computer Science, Engineering, or equivalent experience.
- Experience building scalable machine learning system architectures (microservice, distributed, etc.) and big-data pipelines in production.
- Familiar with Linux OS, Openshift, Kubernetes for container-based deployment.
- Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.
- Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
- Familiar with software development best practices and tools (Agile, Jira, Jenkins, Git)

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