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Location
In office (Shah Alam)
Seniority
Senior · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Razer is a gaming hardware and lifestyle company founded in 2005 by a Singaporean lawyer and an American engineer who believed gaming peripherals were being designed by people who did not play games. It sells gaming laptops, mice, keyboards, headsets, controllers and chairs, and it built the Chroma lighting ecosystem and Synapse software that turned peripheral configuration into a platform other manufacturers now support. Dual headquartered in Irvine, California and Singapore, it was listed in Hong Kong until being taken private in 2022 and has an unusually devoted following among younger gamers.

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 :

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?

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