Seagate Technology

Factory Analytics Integration Intern, AI Engineering – Smart Factory

Seagate Technology

internship

Posted on:

Location Type: Office

Location: Bayan Baru • 🇲🇾 Malaysia

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Job Level

Entry Level

Tech Stack

DockerGrafanaKubernetesPrometheusPython

About the role

  • Develop and deploy machine learning models using modern MLOps tools (e.g., MLflow, KServe, Docker, Kubernetes)
  • Build/Enhance Monitoring and Observability features for model performance in production, set up alerts for model degradation, and help automate retraining workflows
  • Improve detection capabilities to reduce the risk of running degraded models in production
  • Build reusable AI deployment components and processing steps for faster, more reliable model updates
  • Collaborate with cross-functional teams to solve real factory problems using AI/ML
  • Learn and apply best practices in experiment tracking, model registry, scalable deployment and model development/training
  • Communicate project status and technical insights to the team and supervisor
  • Participate in Scaled Agile development and delivery

Requirements

  • Good knowledge of the fundamentals in software development
  • Logical thinking and problem-solving skills
  • Experience with development tools such as Python, Visual Studio/C#
  • Familiarity with MLOps concepts such as experiment tracking, model registry, CI/CD, and containerization (Docker/Kubernetes) is an advantage
  • Exposure to tools like MLflow, KServe, Prometheus, Grafana, or similar is a bonus
  • Experience in operationalizing ML models (MLOps) will be an added advantage
  • Experience in GenAI tools like ChatGPT, Copilots, Gemini, etc.
  • Fluent in English communication (Listening, Speaking, Writing, Reading).
Benefits
  • On-site gym
  • Ping-pong and badminton facilities
  • Café serving breakfast, lunch, and coffee
  • Ample free on-site parking

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningMLOpsPythonDockerKubernetesexperiment trackingmodel registryCI/CDmodel developmentmodel training
Soft skills
logical thinkingproblem-solvingcommunication