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Shah Alam, Selangor, Malaysia
Onsite
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.
Essential Duties and Responsibilities:
Form and grow a skilled engineering team with expertise in the technologies RPA, AI/ML and DataOps.
Foster a collaborative and growth-oriented environment where team members can continuously learn and develop their skills.
Provide strategic direction and guidance to the team, ensuring they are effectively utilizing their expertise to achieve organizational goals.
Champion the adoption and integration of RPA, AI/ML, and DataOps technologies to optimize IT operations and solve complex business problems.
Lead the implementation of AI services and solutions, ensuring they are aligned with business needs and deliver tangible value.
Measure and track the success of AI-driven initiatives, demonstrating their impact on operational and business outcomes.
Oversee the streaming, collection, and processing of big data. Utilize various tools and techniques to extract valuable insights and enable data-driven decision making.
Requirements:
Demonstrated experience leading and building successful AIOps engineering team. Proven track record of leading high-performing engineers.
Good communication and interpersonal skills to build trust and rapport within the team, facilitate clear communication and provide constructive feedback.
Ability to foster a collaborative and growth-oriented environment where team members can learn from each other and continuously develop their skills.
Ability to design and implement robust and scalable RPA solutions. Experience in identifying and automating repetitive tasks and processes.
In-depth knowledge of data pipelines, data governance, and data quality principles.
Familiarity with major cloud-based AI/ML platforms (e.g., AWS, Azure, GCP, Confluent Kafka) for deploying and managing AI and big data solutions.
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.
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