Job 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 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.

Requirements:

● Extensive Experience: 6+ years of experience in data science, with a strong focus on machine learning and predictive modeling. Demonstrated ability to lead complex data science projects from conception to deployment.

● Technical Expertise: Strong expertise in Python and R programming languages, with a deep understanding of machine learning algorithms such as LSTM, GRU, and Transformers. Proficiency in using libraries and frameworks like TensorFlow, PyTorch, and scikit-learn.

● Big Data Proficiency: Proven track record of working with large datasets and big data technologies, including Hadoop and Spark. Experience in handling and processing large-scale time-series data.

● Leadership Skills: Excellent leadership skills with a proven ability to mentor and guide junior team members. Strong communication skills to effectively collaborate with cross-functional teams and present complex technical information to non-technical stakeholders.

----- Problem-Solving Ability: Strong analytical and problem-solving skills, with the ability to identify and address potential issues proactively. Experience in feature engineering, model tuning, and performance optimization.

● Educational Background: Advanced degree (Ph.D. or Master's) in Computer Science, Data Science, Statistics, or a related field. Relevant certifications in machine learning or data science are a plus

Career Level - IC4

Responsibilities

Responsibilities:

● Lead ML Model Development: Spearhead the development and implementation of sophisticated machine learning models specifically designed for anomaly detection in system logs. This includes selecting appropriate algorithms, designing model architecture, and ensuring robust model training and validation.

● Data Analysis & Prediction: Conduct in-depth analysis of large-scale, time-series data to identify patterns and anomalies that can predict service failures. Utilize statistical methods and machine learning techniques to develop predictive models that can preemptively address potential issues.

● Mentorship & Collaboration: Mentor junior data scientists, providing guidance on best practices in data science, model development, and problem-solving techniques. Foster a collaborative environment by working closely with cross-functional teams, including software engineers, product managers, and operations staff, to align on project goals and deliverables.

● Innovation & Optimization: Drive continuous innovation in feature engineering, model optimization, and the application of new technologies to enhance the accuracy and performance of predictive models. Stay updated with the latest advancements in machine learning and artificial intelligence to integrate new methodologies into the project.

● Reporting & Documentation: Ensure thorough documentation of model development processes, data analysis methodologies, and project outcomes. Regularly report on project progress, challenges, and achievements to senior leadership and stakeholders.

Minimum Qualifications: PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning Techniques OR Masters or Bachelor's in one or more of these fields. Minimum 4 years work experience in the areas of machine learning, computer vision, natural language processing or data mining with a PhD OR 5+ years experience with a Master’s or Bachelor's. Preferred Qualifications: Scientific thinking and the ability to invent, with a track record of contributing to the advancement of the field. Demonstrated experience in successfully designing and shipping models using machine learning, deep learning, and statistical modeling across different data domains and modalities. Experience in optimization and scaling of ML solutions for real world business use cases. Training machine learning models with large scale data using techniques such as data and model parallels. Experience in technical leadership of data science groups/projects. Track record of innovation in creating novel algorithms and advancing state of the art solutions. Demonstrated experience in engaging and influencing business leaders in solution path design. Publications at top-tier peer-reviewed conferences or journals. Hands on experience in applicable programming languages in a production service environment. Depending on the job there may be additional minimum requirements and/or preferred qualifications.

About Us

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