• Design, develop, and deploy machine learning and AI solutions, including Generative AI, computer vision, and predictive models • Build scalable data pipelines and integrate models into production environments • Collaborate with data engineers and scientists to process and analyze large datasets (including industrial and time-series data) • Translate business requirements into technical implementations, focusing on robust and maintainable solutions • Develop and optimize algorithms for real-world industrial use cases (e.g., predictive maintenance, anomaly detection, process optimization) • Work with industrial data sources such as SCADA, MES, ERP, SAP, and IoT systems • Implement model monitoring, validation, and continuous improvement pipelines (MLOps practices) • Contribute to system architecture with a focus on performance, scalability, and reliability • Prototype and experiment with new AI approaches, rapidly iterating toward production-ready solutions • Support integration of AI systems into existing client infrastructure and applications

Role Description - 5–6 years of experience in AWS-based application development, including IVR/telephony systems - Strong experience with Amazon Connect (Contact Flows, Queues, Routing Profiles, Hours of Operation) - Experience building resilient IVR solutions with proper failure handling, retries, and fallback logic - Experience with Infrastructure as Code using Terraform (modular code, environment management, and deployments) - Proficiency in AWS Lambda (Node.js or Python) and serverless architecture patterns - Experience designing and integrating APIs for IVR workflows - Solid experience with DynamoDB data modeling and access patterns - Experience with Amazon Lex or similar conversational bot integrations - Strong understanding of distributed system behaviors (timeouts, retries, partial failures) - Experience with secure configuration using AWS Secrets Manager and/or Parameter Store - Hands-on experience with CI/CD pipelines and automated deployments - Familiarity with logging, monitoring, and debugging using CloudWatch or similar tools - This is a remote position. Company Description

Role Description Mainframe, DB2, IMS, CICS At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: - One Zensar - Nurturing - Empowering - Client Focus Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status. Company Description At Zensar, we’re a community of 10,000+ innovators across 30+ global locations, including: - Milpitas - Seattle - Princeton - Cape Town - London - Zurich - Singapore - Mexico City We are part of the $4.8 billion RPG Group.

• Assist in designing, developing, and maintaining backend systems under the guidance of senior engineers • Support the development and testing of RESTful APIs for internal and external integrations • Participate in building and improving microservices-based architectures • Collaborate with cross-functional teams including Product Managers, QA, and DevOps in an Agile/Scrum environment • Contribute to writing clean, maintainable, and well-documented code • Help with debugging, troubleshooting, and performance optimization • Learn and apply best practices such as version control, code reviews, and testing methodologies • Stay updated with emerging technologies and actively contribute to team learning initiatives