ADCI HYD 13 SEZ

Software Development, customer service

SoftwareDevelopmentEngineer,CSDataIntelligence

₹15–25L ~AI est. Hyderabad, Telangana, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Software Development Engineer, CS Data Intelligence at ADCI HYD 13 SEZ. Skills: Data infrastructure, AI models, ML platform. Design data infrastructure systems. Build data infrastructure systems”

Industry & Context.

Software Development, customer service
Problems you'll solve

Complex technical challenges

What They're Looking For.

Must Have

3+ years software development experience, 2+ years system design/architecture, 3+ years Video Games Industry experience, Experience programming one language

Nice to Have

3+ years full SDLC experience, Bachelor's degree in computer science

What You'll Do.

Design data infrastructure systems

Build data infrastructure systems

Architect for real-time processing

Implement secure storage

Develop privacy-compliant access layers

Build AI model lifecycle infrastructure

Support AI model development

Support AI model deployment

Create enterprise-scale data systems

Handle high-volume transactions

Implement data governance frameworks

Build scalable data products

Drive technical architecture decisions

Own end-to-end delivery

Design technical solutions

Implement technical solutions

Collaborate with cross-functional teams

Understand requirements

Conduct design reviews

Ensure successful delivery

Maintain development standards

Enhance system stability

Build new capabilities

Improve monitoring systems

Maintain data compliance

Consult with scientists

Optimize model deployment

Mentor junior engineers

Share system design expertise

How You'll Work.

Team & Collaboration

Cross-functional teams; Product Managers; Applied Scientists; Data Engineers; Security teams

Full Job Description

As a Software Engineer on the CS Data Intelligence team, you will design and build robust, secure data infrastructure systems. You'll architect for real-time data processing needs, implement secure storage solutions, and develop privacy-compliant data access layers. Additionally, you'll build infrastructure that supports the complete lifecycle of Artificial Intelligence (AI) models - from development to production deployment. You’ll work with cross-functional teams (e.g., scientists, product managers, data engineers) to create enterprise-scale data processing systems that handle high-volume transactions, implement comprehensive data governance frameworks, and build scalable data products that power critical business capabilities. If you enjoy solving complex technical challenges in high-scale environments, working in a collaborative and dynamic team, and want to make a lasting impact on Amazon Customer Service worldwide, this is your opportunity. Come join us on this exciting journey! Key job responsibilities - Design and implement enterprise-scale data infrastructure and storage solutions that ensure optimal performance and reliability. - Architect and build Machine Learning (ML) platform infrastructure that supports the complete model lifecycle, from training environments and validation frameworks to production deployment and monitoring systems. - Develop and maintain robust data governance frameworks, implementing security controls, authentication mechanisms, and compliant data access patterns that protect sensitive information. - Drive technical architecture decisions and system design, focusing on scalability, reliability, and performance of distributed services while ensuring alignment with business requirements. - Own end-to-end delivery of technical solutions, including design, implementation, and verification of components, using standard software engineering methodologies and best practices. - Collaborate with cross-functional teams, including Product Mana

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