AIOps Engineering Lead: AI/ML, RPA & DataOps

HellaGoodAudio

Shah Alam

Presencial

MYR 260.000 - 460.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Razer is seeking a senior leader to transform IT operations with AI-powered solutions. You will lead a high-performing team, drive RPA, AI/ML, and DataOps adoption, and align initiatives with business goals across data pipelines and big data processing.

You will architect robust, scalable solutions and measure value delivery, while fostering a collaborative growth culture within a global engineering organization.

Formación

  • Demonstrated experience leading and building an AIOps engineering team.
  • Proven track record of leading high-performing engineers.
  • Good communication and interpersonal skills to build trust within the team.
  • Ability to foster a collaborative growth-oriented environment.
  • Design and implement robust and scalable RPA solutions.
  • Depth of knowledge in data pipelines, governance and data quality.
  • Familiarity with cloud-based AI/ML platforms for deploying AI/big data solutions.

Responsabilidades

  • Form and grow a skilled engineering team with expertise in RPA, AI/ML and DataOps.
  • Foster a collaborative and growth-oriented environment for skill development.
  • Provide strategic direction to achieve organizational goals.
  • Champion adoption and integration of RPA, AI/ML, and DataOps to optimize IT ops.
  • Lead the implementation of AI services aligned with business needs.
  • Measure and track the impact of AI-driven initiatives on outcomes.
  • Oversee streaming, collection, and processing of big data for insights.

Conocimientos

AIOps leadership
AI/ML
RPA
DataOps
Data pipelines
Cloud platforms
Data governance
Communication

Herramientas

Confluent Kafka
AWS/Azure/GCP

Descripción del empleo

Razer is seeking a senior leader to transform IT operations with AI-powered solutions. You will lead a high-performing team, drive RPA, AI/ML, and DataOps adoption, and align initiatives with business goals across data pipelines and big data processing.

You will architect robust, scalable solutions and measure value delivery, while fostering a collaborative growth culture within a global engineering organization.

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