AI Cloud Solution Engineer

Key Responsibilities:

- Assist in the development and implementation of AI & Mathematical algorithms and models on cloud platforms.

- Support the integration of AI solutions with existing systems and applications, ensuring seamless functionality and performance.

- Assist in the deployment and maintenance of AI models in production environments, monitoring performance and optimizing as needed.

- Implement data analysis through statistical programming; Question and/or challenge design according to scientific questions.

- Stay updated on the latest advancements in AI, mathematics, cloud computing, and related technologies, and contribute insights to enhance our offerings.

- Develop system models to communicate advanced concepts to customers, stakeholders and developers.

What requirements should you have?

- Have a B.S in computer science, mathematics, statistics or similar fields.

- Vector Calculus; Probability & Linear algebra theory knowledge.

- Strong academic record.

- Strong commitment to continuous learning.

- Excellent programming and debugging skills in one or more languages like Python, C, or C++.

- Design, develop, test, deploy, maintain, and enhance large scale software solutions.

- ML design and optimizing ML infrastructure knowledge-- model deployment, model evaluation, data processing, debugging, fine tuning.

- Familiarity with cloud computing platforms.

- Maintain and develop core algorithms.

- Develop AI models that are trustworthy, safe, and reliable, especially in high-stakes scenarios..

- Any previous knowledge about the topics below is a plus.

What other requirements should you have?

- Algorithms-- Network algorithms, scheduling, searching, sorting and string processing.

- Background of theory and practice of Bayesian models and statistics.

- Experience in creating implementations of deep learning algorithms.

- Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn is a plus.

- Linear/Quadratic optimization & Polytopes knowledge.

- Scientific Computing theory knowledge-- Interpolation and approximation of functions; Numerical methods for Differential Equations.

- Theory of computation knowledge-- Formal language theory, computability theory, and complexity theory.

Career Level - IC1

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