Machine Learning Engineer 2

India Delivery Centre; Hyderabad; On-site; INR 2,000,000 - 4,000,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Crowe Capability Center - India Delivery Centre LLP in Hyderabad is seeking an experienced backend engineer to build and scale APIs and AI-driven services. You will design, implement, and operate REST/gRPC endpoints and orchestrate tasks in a production Kubernetes environment.

You will collaborate with ML engineers, implement scalable architectures, ensure security and observability, and mentor others on coding best practices.

Qualifications

• 4-8 years of production-grade API maintenance experience.
• Strong background in system design and architecture.
• Proficiency with REST/gRPC, websockets, and webhooks.
• Experience with at least one Cloud platform (Azure a plus).
• Experience with serverless functions.

Responsibilities

• Develop and maintain scalable APIs for AI/ML workloads.
• Design backend services supporting AI workloads (REST/gRPC, orchestration, async processing).
• Deploy and manage Kubernetes environments for reliable AI systems.
• Collaborate with ML engineers to move AI solutions from PoC to production.
• Implement architectures that support scaling and distributed computing.
• Ensure stability and security through testing and monitoring.

Skills

API development

Python

JavaScript

Kubernetes

Cloud computing

Distributed systems

Tools

Azure

CKAD

Job description

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted 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. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

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.
• Design and development of 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 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

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 AI and machine learning. You've gone deeper than reading blog posts and playing around with ChatGPT and/or Claude.

Our Benefits

At Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you!

How You Can Grow

We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!

More about Crowe

Crowe Capability Center - India, operating under the legal entity C3 India Delivery Centre LLP (formerly known as Crowe Horwath IT Services LLP) is a wholly owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world.

Crowe does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.

We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated sk