Advanced Analytics Developer

2 days ago

Charleston, West Virginia, United States Oracle Full time

**Company Overview**

Oracle is a world leader in cloud solutions, committed to tackling today's problems with tomorrow's technology. We use diverse perspectives and various abilities and backgrounds to drive innovation and promote inclusive workforces.

Our 'SaaS Engineering' team is setting up an exciting new team to work on advances in service reliability with teams of autonomous AI agents. This initiative aims to develop a robust system using advanced ML/AI tools to analyze system logs, predict failures, and autonomously resolve issues before they impact cloud services.

The successful candidate will have extensive experience in machine learning engineering, with a strong focus on developing and deploying machine learning models in production environments. They will be responsible for leading the design and development of advanced machine learning models for detecting anomalies in system logs, as well as architecting and implementing scalable machine learning solutions for real-time failure prediction and automated resolution.

**Responsibilities**

  • Lead ML Model Development: Design and develop advanced machine learning models for detecting anomalies in system logs, selecting appropriate algorithms, designing model architecture, and ensuring robust model training and validation.
  • Scalable Solution Architecture: Architect and implement scalable machine learning solutions for real-time failure prediction and automated resolution, ensuring high availability, fault tolerance, and scalability in a cloud environment.
  • Mentorship & Collaboration: Mentor junior ML engineers, providing guidance on best practices in machine learning, model development, and software engineering, collaborating closely with data scientists and data engineers to integrate models into production and ensure end-to-end solution effectiveness.

**Requirements**

  • 7-10 years of experience in machine learning engineering, with a strong focus on developing and deploying machine learning models in production environments.
  • Strong expertise in Python and deep learning frameworks such as PyTorch and TensorFlow.
  • Knowledge of cloud services (AWS, Azure, Oracle Cloud), containerization (Docker, Kubernetes), and microservices architecture.

**Estimated Salary**: $164,400 - $269,200 per annum, depending on location and experience.

Benefits

  • Medical, dental, and vision insurance.
  • Short term disability and long term disability.
  • Life insurance and AD&D.
  • 401(k) Savings and Investment Plan with company match.
  • Paid time off: Flexible Vacation and Accrued Vacation.
  • 11 paid holidays.
  • Paid sick leave.
  • Employee Stock Purchase Plan.
  • Financial planning and group legal.
  • Voluntary benefits including auto, homeowner and pet insurance.

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