AIOps Engineer

Razer; Shah Alam; On-site; MYR 80,000 - 120,000; Full time

Job summary

A leading gaming company in Malaysia is seeking an experienced AIOps Engineer to enhance IT operations through AI and machine learning. This role involves architecting automated solutions, deploying ML models, and collaborating across teams to drive innovation. The ideal candidate should have a Bachelor's degree in Computer Science, at least 3 years of experience, and proficiency in multiple programming languages. Strong problem-solving skills and the ability to work independently are essential.

Qualifications

• 3+ years of relevant experience in IT operations.
• Proficiency in at least two programming languages/frameworks.
• Experience with advanced AI/ML techniques.
• Hands-on experience with relational and NoSQL databases.

Responsibilities

• Architect and implement AI/ML algorithms for IT operations.
• Develop scalable AI platforms for predictive analytics.
• Create interactive dashboards for real-time monitoring.
• Identify and implement RPA solutions for automation.

Skills

AI/ML algorithms

Data analytics

Programming languages (Python, PHP)

RPA technologies

Cloud platforms (AWS, Azure)

Education

Bachelor's degree in Computer Science or IT

Tools

Kafka

Anaconda

Jupyter Lab

Docker

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

Job Responsibilities : AIOps Engineer will implement the transformation of IT operations through the strategic application of Artificial Intelligence (AI), Machine Learning (ML) Big Data analytics and Robotic Process Automation (RPA). This critical role involves architecting and deploying cutting-edge automated solutions, including intelligent tools for actionable insights, leveraging technologies such as leading RPA platforms, advanced machine learning algorithms, and robust data analysis frameworks. AIOps Engineer will be a driving force for innovation, pioneering new approaches and technologies to enhance the performance and agility of backend, infrastructure, operational, and finance teams.

Essential Duties and Responsibilities

• Architect and implement AI/ML algorithms to boost IT operational efficiency and resilience.
• Develop scalable AI platforms for predictive analytics and proactive system optimization.
• Deploy machine learning models for automated incident resolution and operational intelligence.
• Build advanced data analytics system to extract actionable insights from big data.
• Create interactive dashboards for real-time monitoring of key operational metrics and trend analysis.
• Formulate data strategies to maximize value and drive continuous IT improvement.
• Identify and implement RPA solutions to automate repetitive tasks and streamline workflows.
• Collaborate with cross-functional teams to integrate AI, data analytics, and RPA for enhanced IT operations.
• Demonstrate strong interpersonal and communication skills to effectively engage both technical and non-technical stakeholders.
• Flexibly adapt to additional tasks and evolving priorities, ensuring alignment with organizational goals.

Requirements

• Bachelor's degree in Computer Science, IT, or a related field; 3+ years of relevant experience.
• Proficiency in at least two programming languages/frameworks (e.g., Python with Django, PHP with Laravel, or LangGraph for AI orchestration).
• Expertise in data preparation, model training, and big data analytics using tools such as Kafka, Anaconda, and Jupyter Lab.
• Strong experience with advanced AI/ML techniques, including LLM fine-tuning, reinforcement learning, and generative AI frameworks (e.g., Hugging Face Transformers, LangChain).
• Experience with vector databases and retrieval-augmented generation (RAG) techniques for AI-driven applications.
• Hands-on experience with RPA technologies (e.g., Automation Anywhere 360, RPA Bot frameworks) and AI/ML solution development.
• Solid experience with relational and NoSQL databases (e.g., MySQL, MariaDB, CouchDB, Redis) and SQL.
• Familiarity with version control (Git), Agile methodologies, and CI/CD pipelines.
• Experience with cloud platforms (e.g., AWS, Azure) and containerization technologies (Docker).
• Exposure to AIOps practices, including model deployment, monitoring, and automated retraining using tools like MLflow, Kubeflow, or Vertex AI.
• Strong analytical, problem-solving, and communication skills, with a proven ability to collaborate effectively in cross-functional teams.
• Ability to work independently, manage multiple projects, and adapt in a dynamic environment.

Pre-Requisites :

Are you game?