Qualitest is the world’s leading managed services provider of AI-led quality engineering solutions. It helps brands transition through the digital assurance journey and make the move from conventional functional testing to adopt innovations such as automation, AI, blockchain, and XR.
Qualitest’s core mission is to mitigate business risks associated with digital adoption. It fulfills this through customized quality engineering solutions that leverage Qualitest’s deep, industry-specific knowledge for various sectors, including technology, telecommunications, finance, healthcare, media, utilities, retail, manufacturing, and defense. These scalable solutions protect brands through end-to-end value demonstration with a focus on customer experience and release velocity.
Qualitest has offices in the United States, United Kingdom, Germany, Israel, Romania, India, Mexico, Portugal, Switzerland, and Argentina. It employs more than 7,000 engineers who serve over 400 customers worldwide.
A pioneer and innovator in its industry, Qualitest is the only services provider positioned by Everest Group as a Leader in both Next-generation Quality Engineering (QE) Services PEAK Matrix® Assessment 2023 and the Quality Engineering (QE) Specialist Services PEAK Matrix® Assessment 2023.
Company Website: https://www.qualitestgroup.com
Job Title: AI Application DeveloperJob Summary: We are seeking an experienced and forward-thinking AI Applications Engineer to help us build and implement AI-enabled applications using AWS cloud services and SaaS-based AI platforms. This individual will play a critical role in identifying, designing, and integrating intelligent solutions that align with our digital transformation goals. The ideal candidate will bring hands-on experience building AI/ML models and applications, a passion for automation and innovation, and a collaborative mindset to work cross-functionally with product, data, and IT architecture teams.Key Responsibilities:
- Design, develop, and deploy AI/ML-powered applications using AWS services (e.g., SageMaker, Bedrock, Lambda, Comprehend, Rekognition, Lex, etc.)
- Collaborate with stakeholders to identify AI use cases and transform them into scalable technical solutions.
- Build and manage workflows that support AI model training and deployment.
- Integrate AI services with existing applications and systems across the organization.
- Prototype and evaluate AI models, leveraging pre-built models or training custom ones as needed.
- Ensure applications performance, reliability, security, and compliance standards.
- Stay updated with trends in AI and cloud-native application development.
- Mentor internal teams and provide knowledge transfer for AI tools and practices.Qualifications- Required:
- Bachelor’s or master’s degree in Computer Science or a related field.
- 3+ years of experience developing and deploying AI/ML applications.
- Strong hands-on experience with AWS AI/ML services such as SageMaker, Bedrock, Comprehend, and Rekognition.
- Proficiency in Python, JavaScript, or another modern programming language used in AI/ML development.
- Solid understanding of cloud architecture and serverless application design.
- Experience with REST APIs, microservices, and event-driven systems.Qualifications- Preferred:
- Knowledge of security, privacy, and governance best practices for AI applications.
- AWS Certified Machine Learning – Specialty or Solutions Architect certification
- Familiarity with SaaS platforms and integrating with business systems (CRM, ERP, etc.).Soft Skills:
- Strategic mindset with a passion for AI and emerging technologies.
- Strong analytical and problem-solving skills.
- Excellent communication and cross-functional collaboration abilities.
- Comfortable working in an agile, fast-paced environment.
