About Testsigma
Testsigma is a GenAI-powered, low-code test automation platform that makes it fast and easy for quality engineering teams to automate tests at speed and scale without coding expertise. Through its Natural Language Programming approach, Testsigma allows users to create complex automated tests using plain English, while maintaining the structured approach of programming languages. QA teams can also use the in-built Generative AI capabilities to generate test scenarios thus ensuring test coverage and significantly reducing test development efforts. Hundreds of leading enterprises across the world use Testsigma to release quality software. Some notable customers of Testsigma include Cisco, Samsung, Bosch, Oscar Health, and American Psychological Association. Testsigma is headquartered in San Francisco with engineering teams in Bangalore. Testsigma is backed by marquee investors like MassMutual, Accel, Strive and Bold Cap.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or related field.
- 6+ years of experience in software development using Java.
- Solid understanding of AI/ML concepts including supervised and unsupervised learning, NLP, neural networks, etc.
- Experience with Python ML libraries (e.g., Pytorch, tensorflow).
- Experience in building, scaling and maintaining Gen AI applications.
- Familiarity with data processing tools (e.g., Apache Spark, Hadoop).
- Experience with REST APIs and microservices architecture.
- Strong problem-solving and debugging skills.
- Good understanding of software development best practices (e.g., version control, testing, CI/CD).
Responsibilities:
- Design and implement AI/ML algorithms and models using Java and relevant libraries.
- Develop and maintain backend systems that integrate AI capabilities.
- Collaborate with software engineers, and product teams to deliver AI-driven features.
- Optimize and deploy machine learning models into production environments.
- Conduct performance testing and tuning of AI applications.
- Integrate third-party AI/ML APIs and frameworks as needed.
- Document code, models, and processes following industry best practices.
- Stay updated on emerging AI technologies, frameworks, and Java ecosystem advancements.
Benefits
- Attractive salary + Bonus
- Very good equity program
- Flexible working hours and Work from Office
- 100% company-paid medical insurance
- Daily catered lunch, free snacks, etc.
- Flat hierarchy.