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ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 26 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄

Associate Manager, AIOps Engineering (AI/ML)

Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Malaysia
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
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TL;DR
Associate Manager, AIOps Engineering (AI/ML): Orchestrating the transformation of engineering operations through AI-powered solutions, leading a team to deliver advanced monitoring, automated incident response, and performance optimization with an accent on RPA, AI/ML, and data analytics. Focus on building scalable AIOps capabilities, implementing AI services aligned with business needs, and measuring operational impact through robust data pipelines and governance.

Company

Razer builds gaming-focused technology and products with a global team.

What you will do

  • Form and grow an AIOps engineering team with expertise in RPA, AI/ML, and DataOps.
  • Drive adoption and integration of RPA, AI/ML, and DataOps to optimize IT operations and solve complex business problems.
  • Lead implementation of AI services and solutions aligned with business needs and delivering measurable value.
  • Oversee streaming, collection, and processing of big data to extract insights and enable data-driven decisions.
  • Measure and track success of AI-driven initiatives and report impact on operational and business outcomes.
  • Provide strategic direction, guidance, and feedback to ensure the team meets organizational goals.

Requirements

  • Proven experience leading and building successful AIOps engineering teams with a track record of high-performing engineers.
  • Strong communication and interpersonal skills to build trust, facilitate clear communication, and provide constructive feedback.
  • Ability to design and implement robust, scalable RPA solutions and automate repetitive tasks/processes.
  • In-depth knowledge of data pipelines, data governance, and data quality principles.
  • Familiarity with major cloud-based AI/ML platforms such as AWS, Azure, GCP, and Confluent Kafka for deploying and managing AI and big data solutions.

Culture & Benefits

  • Global mission with collaboration across a team located across 5 continents.
  • Growth-oriented environment focused on continuous learning and skill development.
  • Inclusive, equal-opportunity workplace with reasonable accommodations where needed.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’