Lead Applied Scientist - AI Agents - job 3 of 4

Oracle Corporation's '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 project combines the cutting-edge domains of anomaly detection and autonomous AI agents to enhance service resiliency. This newly formed team will be crucial in driving innovation and ensuring the reliability of Oracle's cloud services, making significantcontributions to service uptime and customer satisfaction.Requirements:● Extensive Experience: 7-10 years of experience in machine learning engineering, with a strong focus on developing and deploying machine learning models in production environments.● Technical Expertise: Strong expertise in Python and deep learning frameworks such as PyTorch and TensorFlow. Extensive experience with time-series data analysis, feature engineering, and model optimization techniques.● Cloud & Containerization: Knowledge of cloud services (AWS, Azure, Oracle Cloud), containerization (Docker, Kubernetes), and microservices architecture. Proven track record of deploying machine learning models in a cloud environment. AI Agent Frameworks: Knowledge and hands-on experience with AI agent frameworks and libraries is a plus. Proven ability to develop and deploy autonomous AI Agents in real-world applications Anomaly Detection Expertise: Experience in designing and implementing anomaly detection systems for system logs. Proficiency in using statistical methods, machine learning algorithms, and signal processing techniques to identify and diagnose anomalies in large-scale log data.● Problem-Solving Skills: Excellent problem-solving skills, with the ability to identify and address potential issues proactively. Experience in troubleshooting and optimizing machine learning models and systems. Leadership Skills: Proven leadership abilities with a track record of mentoring and guiding junior team members. Strong communication skills to effectively collaborate with cross-functional teams and present complex technical information to non-technical stakeholders.● Educational Background: Advanced degree (Master s or Ph.D.) in Computer Science, Machine Learning, Data Science, or a related field. Relevant certifications in machine learning or AI are a plus. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple tasks and projects simultaneously. Eagerness to continuously learn and adapt to new technologies and methodologies.Career Level - IC5