Senior AI Developer

Vericent Pty; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Competitive compensation package

Performance incentives

Flexible work arrangements

Exposure to cutting-edge AI technologies

Job summary

A leading tech company based in Hyderabad, India is seeking a skilled developer with 5–8 years of experience to work on robust backend systems for AI-driven fraud detection. Responsibilities include deploying machine learning models, building microservices, and collaborating with product teams. The role offers a competitive compensation package, exposure to cutting-edge AI technologies, and flexible work arrangements, accommodating both remote and onsite options as required.

Qualifications

• 5–8 years of experience in software development.
• Deep understanding of backend engineering and containerization.
• Proficiency with modern machine learning libraries and frameworks.
• Strong foundation in API design and automated deployment pipelines.

Responsibilities

• Develop, fine-tune, and deploy advanced machine learning models and generative AI components.
• Build robust backend microservices and interfaces for AI insights.
• Implement automated monitoring for model performance and resource efficiency.
• Collaborate with Product Managers to turn user feedback into features.

Skills

Backend engineering

Containerization

Machine learning libraries

API design

Automated deployment pipelines

Job description

Hyderabad, India Remote/Onsite as required

Description

Role Overview

We are looking for a highly skilled developer who lives at the intersection of Software Engineering and Data Science. You will be responsible for translating architectural blueprints into robust, maintainable code that powers our automated fraud detection and optimization engines.

Key Responsibilities

• Deployment: Develop, fine-tune, and deploy advanced machine learning models and generative AI components.
• Service Architecture: Build robust backend microservices and interfaces to deliver AI insights to client-facing dashboards.
• Operations: Implement automated monitoring for model performance, latency, and resource efficiency.
• Collaboration: Work with Product Managers to turn user feedback into technical features.

Requirements

• Experience 5–8 Years
• Deep understanding of backend engineering and containerization.
• Experience with modern machine learning libraries and frameworks.
• Strong foundation in API design and automated deployment pipelines.

What We Offer

• Opportunity to build AI systems that directly impact enterprise risk management and operational excellence.
• Competitive compensation package with performance incentives.
• Exposure to cutting-edge AI technologies and global enterprise clients.
• Flexible work arrangements (remote/onsite as required).