AIOps Engineer Intern
Razer
- Shah Alam, Selangor
- Training
- Full-time
- Utilize Robotics Process Automation (RPA), AI/ML and big data to enhance IT operations.
- Analyze business processes to identify areas for automation and work with business stakeholders and IT teams to determine requirements and design software bots.
- Apply machine learning and data analysis techniques to streamline the significant events and patterns related to system performance and availability.
- Develop and implement advanced data analytics tools to extract insights from operational big data, identify patterns and detect suspicious events.
- Use machine learning and data analysis to automate processes and create tools that provide valuable insights from data.
- Implement state-of-the-art machine learning algorithms to solve complex operational problems.
- Develop innovative approaches and technologies to derive maximum value from available data.
- Collaborate with a team of experienced backend engineers, data engineers, infrastructure engineers and operational SMEs to tackle evolving challenges in the field of AI/ML and RPA.
- Design and implement enterprise-level AI platforms and services to improve IT operations.
- Perform other duties as assigned.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience as a Software Engineer/Machine Learning Engineer.
- Mastering at least 2 of the following programming languages (framework) on backend engineering: PHP(Laravel), Python(Django), Machine-learning(TensorFlow), Data analytics(Streamlit) and SQL.
- Strong knowledge of RPA technology tools, including Automation Anywhere 360 Control Room and RPA Bot framework.
- Strong knowledge of data preparation and model training, including Kafka, Anaconda, Jupyter Lab and Google Colab.
- Experience with databases such as MySQL, MariaDB, CouchDB and Redis.
- Experience with version control systems, such as Git.
- Understanding of Agile development methodologies.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams.
- Ability to work independently and manage multiple projects simultaneously.
- Strong attention to detail and commitment to delivering high-quality work.
- Experience with cloud computing platforms, such as AWS.
- Experience with containerization technologies, such as Docker or Kubernetes.
- Familiarity with testing frameworks, such as Phpunit.
- Understanding of CI/CD pipelines.