Project Description:
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 significant
contributions to service uptime and customer satisfaction.
Career Level - IC4
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.
● Data Architecture Design: Lead the design, build, and maintenance of data architectures and
pipelines for ingesting and processing large-scale log data. Ensure the architecture is scalable,
reliable, and efficient.
● Advanced Data Engineering: Implement complex data parsing, transformation, and feature
engineering processes to support advanced machine learning model development. Collaborate
with data scientists to create robust data features.
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) 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.
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.
Disclaimer:
Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
* Which includes being a United States Affirmative Action Employer
Yearly based
United States