Machine Learning Engineer

3 days ago

Singapore NodeFlair Full time

**Job Summary**:
**Job Type**
Permanent

**Seniority**

**Years of Experience**
Information not provided

**Tech Stacks**
ETL GitLab CircleCI Terraform Docker C++ Jenkins GitLab CI CI Linux NoSQL Kubernetes JavaScript Python
- Job Description
- We are looking for a junior to mid-level MLE who is knowledgeable and passionate about machine learning, software engineering, and cloud infrastructure. You will be working in the MLOps team, whose primary responsibility is to enhance the efficiency of producing machine learning products and developing machine learning platforms. The scope includes but is not limited to building an end-to-end machine learning platform and governing best practices for software engineering, including Cloud infra, and MLOps principle.
- In this role, you will:

- Build machine learning infrastructure that enables fast-paced ML development, including notebook servers, training and deployment pipelines, metadata store, model antifactory, feature store, serving infrastructure, and monitoring system and feedback loop.
- Exercise MLOps best practices. Implement continuous-X automated pipelines, namely continuous integration (CI), continuous delivery (CD), and continuous training (CT).
- Maintain high SLAs. Ensure that the infrastructure is highly available, reliable, and scalable, and it always meets the service-level agreements (SLAs).
- Employ state-of-the-art innovation to improve the efficiency of developing machine learning products, for example, feature store, distributed training, edge-computing optimization.
- Make decisions with cost awareness in mind by optimizing design and workflow for machine learning infrastructure.

You will need to have:

- Strong problem-solving and software engineering skills
- Experience With GCP or other cloud providers
- Fundamental knowledge of data sciences and machine learning
- Experience designing solutions concerning reliability, scalability, and maintainability
- Experience writing infrastructure as code using tools like Terraform
- Experience deploying and operating highly available services and their ecosystem, i.e., CI/CD pipelines, logging and monitoring systems, alerts, and other DevOps tools
- Proficiency in tools for building reliable systems like:

- VCS: Gitlab, GitHub
- CI/CD: Gitlab CI, GitHub Action, Jenkins, CircleCI
- Virtualization technology: VM, Docker, Kubernetes
- At least one of these programming languages: Python, C++, JavaScript
- Working in the Linux environment
- Experience or desire to work with scrum practices
- English proficiency (professional level)

Nice to have:

- Hands-on experience with cloud infrastructure and generally knowledgeable about cloud tools
- Experience pushing LLMs (or other generative AI) into production
- Experience with relational databases, NoSQL databases, data warehouses, and ETL frameworks is a plus.
- Experience QA testing process and Chaos Engineering

**Benefits**:
- Competitive salary and benefits
- Opportunity to work with a talented team of professionals.
- Chance to make a real impact on the company's bottom line
- Opportunities for professional development

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