Lead Applied Scientist - AI Agents
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
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