Artificial Intelligence Engineer

Adactin, one of the fastest-growing companies in Australia and the APAC region, thrives on its solutions and services on INNOVATION. Our vision, combined with our experience in the market, has continuously allowed us to grow our expertise which is visible in our comprehensive portfolio.

We innovate, strategize, consult and operate for organizations to achieve their business objectives through an array of our services in Software development, Testing services, Digital transformation, Enterprise solutions, and quality ICT training.

Adactin is always committed to delivering with conviction and belief in our people. Seize the opportunity and advance your career in a dynamic environment to augment your growth and success.

We are currently seeking an experienced AI Engineer to join a leading global IT services provider.

Job Title: AI Engineer

Location: Singapore

Employment Type: Full Time

Key Responsibilities

AI Model Deployment & Integration

• Deploy and optimize AI/ML models into production using Azure ML, ONNX, TensorRT, and other Microsoft-compatible frameworks.
• Build secure, performant RESTful APIs or microservices to integrate AI capabilities into Razer applications, supporting scalability and low-latency demands

MLOps & Infrastructure

• Implement MLOps pipelines (CI/CD) tailored for Microsoft environments such as Azure DevOps or GitHub Actions.
• Containerize services using Docker and Kubernetes, deploying on Microsoft Azure AKS or equivalent platforms

Cloud Services & Monitoring

• Leverage Azure cloud services (e.g., Azure ML, Azure Functions, Azure Kubernetes Service, Cosmos DB) and Infrastructure as Code tools like Terraform or ARM templates
• Set up monitoring, logging, and error-handling for AI model performance using Azure Monitor or Application Insights

Pipeline & API Development

• Build high-performance AI pipelines (batch and real-time) using distributed processing tools like Spark or Dask.
• Collaborate across development teams to integrate AI modules into gameplay tools and services that enhance developer productivity and player experience

Cross-functional Collaboration

• Work closely with data scientists, software engineers, QA teams, and DevOps to turn AI models into robust, scalable features.
• Support API/plugin development and refine AI strategies based on model performance and feedback loops.

Required Qualifications

Experience & Education

• 5+ years in AI/ML software engineering, with experience deploying AI solutions in production environments.
• Strong proficiency in Python, Java, or C#. Microsoft stack experience (e.g., C#, .NET Core) is a plus.

AI & Framework Knowledge

• Hands-on with AI frameworks like TensorFlow, PyTorch, Scikit-Learn, ONNX, or similar.
• Practical experience with Microsoft Azure ML, deployment pipelines, and Azure-specific AI services.

Cloud & DevOps Tools

• Proficiency in containerization (Docker, Kubernetes) and DevOps practices, especially with Azure| GitHub Actions or Azure DevOps.
• Experience with Infrastructure as Code (Terraform, ARM templates) and cloud-native deployment patterns.

Database & Processing

• Familiarity with SQL/NoSQL databases, vector stores, and distributed systems (Spark, Dask).

Soft Skills

• Excellent communication and teamwork skills for a fast-paced, agile setup.
• Strong problem-solving mindset with a keen eye for optimization and performance.