At Crowe, we believe in balance, purpose, and growth. Whether you’re building world-changing AI models or collaborating on impactful innovation, we give you the flexibility to thrive. We foster a culture where your personal well-being is as important as your professional success, and we’re committed to continuous learning to help you grow as a leader in tech.
Over our 80-year legacy, we’ve led through innovation, with AI-powered solutions transforming industries. Now, we're inviting you to be a part of the future.
What You’ll Do:
As a Machine Learning DevOps Engineer, you will work at the intersection of machine learning, cloud technologies, and DevOps best practices to build scalable, production-grade AI solutions. Your role will be pivotal in creating the robust infrastructure that powers our AI-driven innovations.
- Design & Build: Develop scalable, API-driven architectures that integrate seamlessly with our machine learning models.
- Deploy & Manage: Oversee Kubernetes environments to ensure seamless deployment and scaling of AI applications.
- Collaborate: Work alongside talented MLE teams to bring AI concepts from vision to production.
- Innovate: Leverage cutting-edge tools and technologies to optimize system architectures for distributed computing needs.
- Ensure Excellence: Maintain system security and stability, conducting rigorous testing and monitoring to ensure flawless AI operations.
Why You’re the Perfect Fit:
We’re looking for an engineer who thrives in a fast-paced, cutting-edge environment where continuous improvement is a mantra. If you have a passion for AI, DevOps, and making a meaningful impact, you’ll excel here. Here’s what we need:
- 4-8 years of experience with production-grade APIs and system architecture.
- Proficiency in Python and JavaScript, with experience in scalable coding practices.
- Expertise in Kubernetes, cloud platforms (Azure is a plus), and serverless functions like OpenFaaS.
- Experience in building and deploying distributed systems and RESTful APIs.
- A passion for continuous learning, driven by a desire to stay at the forefront of AI and DevOps best practices.
Bonus Points:
- Certified Kubernetes Application Developer (CKAD) or similar certifications.
- Familiarity with Power Platform, Azure AI Studio, and other Microsoft technologies.
What We Offer:
At Crowe, we believe great talent deserves exceptional rewards. Here’s what you can expect when you join us:
- Competitive compensation with a salary range of $94,500 - $212,500.
- Comprehensive benefits including flexible PTO, work-from-home options, and health/well-being support.
- Career Development: A dedicated Career Coach to help guide your professional journey.
- Access to cutting-edge technologies and an inclusive culture that values diversity and learning.
- Opportunities to attend conferences, engage in book clubs, and participate in ongoing training.
