Software Engineer

1 week ago

Queenstown, Singapore Razer (Asia-Pacific) Pte. Ltd Full time

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is **a place to do great work**, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also **a great place to work,** providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

**Responsibilities**:

- Implement and optimize AI / ML models in production, via containerization (Docker, Kubernetes), for speed, accuracy and cost-effectiveness
- Deploy AI models using RESTful APIs, gRPC, or edge computing solutions.
- Implement monitoring, logging, and error-handling mechanisms to track AI performance.
- Design APIs and microservices to integrate AI capabilities into software systems to ensure that they are secure, performant and well-documented
- Monitor and optimize model performance in production environments, ensuring API latency and availability meet the required SLAs (Service Level Agreements).
- Build scalable, high-performance AI pipelines for real-time and batch processing.
- Implement MLOps best practices, including CI/CD for machine learning workflows on both local machines and cloud platforms
- Work closely with data scientists to turn research models into deployable solutions.
- Collaborate with DevOps and cloud engineers to ensure seamless AI model deployment.
- Stay up to date with the latest AI/ML frameworks, tools, and industry trends in API, plugins development to continuously improve and enhance API solutions.
- Identify opportunities to improve existing AI API / plugins architectures and suggest new features or services to add value to AI products.

**Pre-Requisites**:

- 3+ years of experience in AI/ML software development.
- Proven track record of deploying AI solutions in production environments.
- Strong experience in deploying AI models and API development using RESTful APIs, gRPC, or edge computing solutions.
- Strong programming skills in Python, Java, or C++.
- Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- In depth understanding of containerization (Docker, Kubernetes) and DevOps practices.
- Experience with database management (SQL, NoSQL, and vector databases).
- Knowledge of distributed computing (Spark, Dask) and parallel processing.
- Excellent written and verbal communication skills for coordinating across teams.

**Education & Experience**
- Has a Bachelor’s or Master’s degree in computer science, AI or similar discipline from an accredited institution

**Are you game?

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