Machine Learning Engineer 2

Overview

Develop and maintain scalable APIs and Kubernetes environments that support the deployment and operation of AI and machine learning models at Crowe.

What you'll do

• Design and develop backend services supporting AI workloads, including REST/gRPC APIs, job orchestration, asynchronous task processing, data/model lifecycle management, and service-to-service communication.
• 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 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.

What you'll need

• 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.
• Experience 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 APIs, websockets, and webhooks.
• Experience with at least one Cloud Computing platform.
• Experience with serverless functions.

Nice to have

• Experience with Microsoft Azure.
• 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.
• Staying current with engineering practice and a continuous improvement mindset.
• Genuine enjoyment of AI and machine learning beyond surface-level use of tools such as ChatGPT or Claude.

Details

• Location: Hyderabad, Telangana, India.