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обновлено 16 дней назад

Senior AIOps Engineer (AI/ML)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AIOps Engineer (AI/ML): Transforming IT operations through AI/ML, big data analytics, and RPA with an accent on predictive analytics, automated incident resolution, and real-time operational intelligence. Focus on building scalable AI platforms, deploying and monitoring machine learning models, implementing RAG and vector database solutions, and automating workflows.

Location: Shah Alam, Malaysia

Company

Razer develops gamer-focused products and technologies while operating with teams across five continents.

What you will do

  • Architect and implement AI/ML algorithms to improve IT operational efficiency, resilience, and proactive system optimization.
  • Develop scalable AI platforms for predictive analytics, automated incident resolution, and operational intelligence.
  • Build big data analytics systems and interactive dashboards for actionable insights and real-time monitoring.
  • Identify and implement RPA solutions to automate repetitive tasks and streamline workflows.
  • Integrate AI, data analytics, and RPA across backend, infrastructure, operational, and finance teams.
  • Collaborate with technical and non-technical stakeholders while managing multiple evolving priorities.

Requirements

  • Bachelor’s degree in Computer Science, IT, or a related field, with 3+ years of relevant experience.
  • Proficiency in at least two programming languages or frameworks, such as Python with Django, PHP with Laravel, or LangGraph.
  • Experience with data preparation, model training, big data analytics, Kafka, Anaconda, and Jupyter Lab.
  • Strong knowledge of advanced AI/ML techniques, including LLM fine-tuning, reinforcement learning, generative AI, Hugging Face Transformers, and LangChain.
  • Experience with vector databases, RAG, RPA technologies, relational and NoSQL databases, SQL, Git, Agile, CI/CD, cloud platforms, and Docker.
  • Experience with AIOps model deployment, monitoring, and automated retraining using tools such as MLflow, Kubeflow, or Vertex AI.

Culture & Benefits

  • Equal opportunity workplace committed to diversity, inclusion, respect, and fairness.
  • Reasonable accommodations are provided where needed, including for disability and religious practices.
  • Opportunity to work with a global team across five continents.

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