- Location
- India - Remote
- Workplace
- Remote
- Type
- Full-time
- Department
- IT
- Source
- Workday
Description
Job Title
Full Stack AI Developer
Location(s)
India - RemoteAbout Us
Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.
Find your future at Revvity
The Big Picture
Join the RevvityAI development team to design, build, and improve software that helps power AI-driven capabilities. They will help translate product needs into reliable systems, contribute to model- and data-focused engineering, and support continuous improvement across the stack.
What's in it for you
Experience personalized career journeys with growth-oriented development opportunities.
Engage in purpose-driven work that makes a positive impact on society.
Be part of a values-driven culture that encourages collaboration and fresh ideas.
Placeholder for local benefits
Your Superpowers in Action
Design, develop, and maintain AI-enabled applications and services using modern software engineering practices.
Build and optimize data pipelines and machine learning workflows that improve performance, reliability, and usability.
Collaborate with product and engineering partners to translate requirements into clear technical solutions.
Write clean, testable code and help establish engineering standards for performance, security, and maintainability.
Monitor deployed systems, troubleshoot issues, and iterate based on real-world feedback and metrics.
Basic qualifications
Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
Strong programming skills in at least one modern language such as Python, Java, or C#.
Experience building software services using APIs, databases, and version control.
Preferred qualifications
Experience with machine learning or AI frameworks and developing production ML workflows.
Familiarity with cloud services, containerization, and deployment practices.
Experience with data engineering tasks such as ETL/ELT, data quality checks, and performance tuning.
