AI Solutions Principal Engineer (Python, AWS & Azure)

As an AI Solutions Principal Engineer at Oowlish, your main responsibilities will include designing and implementing complex AI-driven software solutions, collaborating with cross-functional teams to ensure successful project delivery, and leveraging your expertise in Python, AWS, and Azure to enhance our digital offerings. You will also lead the development and deployment of scalable, cloud-based systems while integrating best practices in AI and machine learning.

To qualify for the AI Solutions Principal Engineer position at Oowlish, you should possess a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, along with extensive experience in Python and knowledge of cloud platforms, specifically AWS and Azure. Familiarity with AI frameworks, machine learning, and big data tools like Apache Spark are also essential.

In the role of AI Solutions Principal Engineer at Oowlish, you will work on a variety of innovative projects that utilize AI and machine learning to address complex challenges faced by our clients in the U.S. and Europe. You'll get to design solutions that streamline processes, enhance business intelligence, and create value through advanced technology.

Yes, Oowlish offers a remote work option for the AI Solutions Principal Engineer role, allowing you to maintain a healthy work-life balance. We value flexibility and strive to create an inclusive work environment adjusted to the needs of our team members.

Oowlish provides an array of benefits for its AI Solutions Principal Engineers, including flexible working hours, competitive salary packages, career development programs, support for professional growth, and unique perks such as anniversary bonuses, pet adoption incentives, and fitness memberships. We are dedicated to ensuring our employees feel valued and supported.

In responding to this question, you should focus on specific projects where you've utilized Python to develop AI-driven applications. Highlight libraries or frameworks you've worked with, your approach to problem-solving, and the impact your Python solutions had on project outcomes.

When answering this question, describe specific instances where you implemented cloud solutions using AWS or Azure. Discuss aspects such as deployment, CI/CD pipelines you managed, and how you ensured system scalability and security.

List the AI frameworks you are proficient in, such as TensorFlow or PyTorch, and discuss how you've applied these frameworks in real-world projects. Emphasize your role in using these tools to solve specific challenges or advance project goals.

Explain your methodology when designing software architectures, including the principles you follow for scalability, maintenance, and performance optimization. Use examples from your work where you successfully implemented these standards.

Provide examples of projects where you successfully led cross-functional teams and discuss your leadership style. Highlight your communication skills and strategies for fostering collaboration across diverse teams.

Discuss your past experiences with machine learning pipelines, detailing how you’ve built, tested, and maintained them. Mention any tools or platforms you've utilized during this process and the outcomes of your contributions.

Discuss the resources you utilize to stay informed about AI trends, such as online courses, industry journals, conferences, or networking with peers. Highlight your commitment to continuous learning and professional development.

Share a scenario where you utilized tools like Docker or Kubernetes in a project. Discuss your role, the challenges you faced, and the solutions you implemented, showcasing your technical proficiency.

When answering, talk about your preferred testing methodologies, such as unit testing, integration testing, or A/B testing, and explain why these methods are effective. Tie your answer back to your experience with real-world applications.

Your answer should reflect your understanding of Oowlish’s values and goals. Talk about your enthusiasm for their innovative projects, commitment to a great workplace culture, and how your skills and experiences align with their mission to deliver outstanding software solutions.