What are the responsibilities and job description for the Machine Learning DevOps Engineer Senior Staff position at Crowe LLP?
Your Journey at Crowe Starts Here:
Crowe is where you can build a meaningful and rewarding career.
We offer real flexibility to balance work with life moments, trusting you to deliver results and make an impact.
We embrace you for who you are, care for your well-being, and nurture your career.
Everyone has equitable access to opportunities for career growth and leadership.
About Crowe AI
Everything we do is about making the future of human work more purposeful.
We achieve this by leveraging state-of-the-art machine learning, modern architectures, and industry experts, creating AI-powered solutions that transform the way we do business.
About the Team
We foster good science.
You will be given the time and resources to build your expertise in your project and beyond; you will guide fellow Machine Learning Engineers and product stakeholders through your work.
We want to make good scientists better.
MACHINE LEARNING ENGINEERS have plenty of options on the job market.
We want to be one of the best.
We have regular ethics and book club meetings, monthly lightning talks where team members teach each other, support for conferences, and weekly independent time for ongoing learning.
We truly value work-life balance.
Our distributed team offers flexible PTO and work-from-home policies.
We stress the importance of work-life balance and encourage you to be you.
About the Role
You will be responsible for developing and maintaining scalable APIs and Kubernetes environments that support the deployment and operation of machine learning models at Crowe.
Your role is crucial in ensuring that our AI solutions are robust, efficient, and meaningfully transform business offerings.
Design, build, and maintain scalable and robust APIs that integrate with Crowe's machine learning models.
Deploy and manage Kubernetes environments to ensure the reliable operation of our AI systems.
Collaborate with Machine Learning Engineers teams to take AI solutions from Proof of Concept to production readiness.
Implement system architectures that support scaling and distributed computing needs.
Ensure the stability and security of AI deployments through design and execution of rigorous testing and monitoring.
Required Skills
- 4-8 years' experience maintaining production-grade APIs
- Software engineering experience in a production environment, with a strong background in system design and architecture
- Expertise in programming languages such as Python and JavaScript
- You're experienced writing scalable, production-level code sufficient to thoroughly review code and mentor on general programming best practices
- Solid understanding of scaling strategies and distributed computing principles
- Demonstrated interface savviness, including experience creating and interacting with RESTful HTTPS API's, websockets, and webhooks
- Experience with at least one Cloud Computing platform (experience with Microsoft Azure a plus)
- Experience with serverless functions, e.g., OpenFaaS
Preferred Skills
- Power Platform, Azure AI Studio, and other Microsoft stack exposure for AI solution deployment
- Certified Kubernetes Application Developer (CKAD) certification or similar credentials
- Demonstrated commitment to DevOps best practices and continuous improvement
- You want to stay fresh with regards to practicing engineering
- Continuous improvement is a mantra for you as any system you work with gradually improves over time
- You enjoy machine learning
Values
We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship.
These values define who we are.
We expect all of our people to act ethically and with integrity at all times.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the current range is $94,500.00 - $212,500.00 per year.
Benefits
Your exceptional people experience starts here.
We know that great people are what makes a great firm.
We care about our people and offer employees a comprehensive total rewards package.
Salary : $94,500 - $212,500
