AI Software Engineer

Razer Inc.; Singapore; On-site; SGD 75,000 - 95,000; Full time

Job summary

Razer Inc. is seeking an experienced AI/ML Developer in Singapore to implement and optimize machine learning models in production. You will focus on deploying AI models using RESTful APIs and developing high-performance AI applications. The ideal candidate has over 3 years of software development experience with strong programming skills in Python, Java, or C++. A Bachelor's or Master's degree in Computer Science or related field is required along with a proven track record of deploying AI solutions.

Qualifications

• 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.

Responsibilities

• Implement and optimize AI/ML models in production.
• Deploy AI models using RESTful APIs and gRPC.
• Design APIs and microservices for AI capabilities.

Skills

AI/ML software development

API development using RESTful APIs

Python

Docker

Kubernetes

TensorFlow

Scikit-learn

Education

Bachelor’s or Master’s degree in computer science, AI or similar discipline

Tools

AWS

Azure

Google Cloud Platform

SQL

NoSQL

Job description

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 experience that will put you in an accelerated growth, both personally and professionally.

Job 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 in developing and deploying AI applications running both edge deployment (TensorRT, ONNX, TFLite) and on cloud infrastructure (AWS, Azure or Google Cloud Platform) using Infrastructure as code tools such as Terraform and also cloud AI services (AWS SageMaker, Google Vertex AI, Azure ML).
• Experience with database management (SQL, NoSQL, and vector databases).
• Knowledge of distributed computing (Spark, Dask) and parallel processing.
• Ability and willingness to learn any new technologies and apply them at work in order to stay ahead, in a fast paced, high pressure, agile environment
• 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

Travel Requirements

• Role based in Singapore office and may require up to 1 travel trip per year.

Are you game?