Machine Learning Engineer 2

About the role

You will be responsible for developing and maintaining scalable APIs and Kubernetes environments that support the deployment and operation of AI and machine learning models at Crowe. Your role is crucial in ensuring that our AI solutions are robust, efficient, and meaningfully transform business offerings.

What you'll do

• Be responsible for developing and maintaining scalable APIs and Kubernetes environments that support the deployment and operation of AI and machine learning models at…
• Design and development of backend services supporting AI workloads, including REST/gRPC APIs, job orchestration, asynchronous task processing
• 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

What you need

• 4–8 years in data science & ai
• Machine learning
• Python
• System design
• REST APIs
• JavaScript
• Kubernetes
• Any graduate

Good to have

• Azure
• gRPC

What you get