Manager - AI Delivery Implementation

Roles and Responsibilities

• Design, develop, test, and deploy scalable full-stack applications using Python and modern front-end frameworks. Build and deploy Machine Learning and AI-powered solutions for enterprise use cases. Actively contribute to coding, code reviews, debugging, and performance optimization activities. Develop and maintain REST APIs, microservices, and cloud-native applications. Design scalable, secure, and maintainable software architectures following industry best practices. Implement and manage CI/CD pipelines, DevOps, and MLOps processes. Deploy, monitor, and optimize applications and ML models on AWS and/or Azure. Ensure high standards of code quality through automated testing, peer reviews, and engineering best practices. Troubleshoot and resolve complex technical issues across application, infrastructure, and data layers. Drive continuous improvement in architecture, development processes, security, scalability, and operational efficiency. Mentor and guide team members on technical design, coding standards, and engineering best practices. Stay updated with emerging technologies and recommend innovative solutions to enhance products and platforms. Work in Agile teams and contribute to sprint planning, estimation, and successful delivery of project milestones. Customize and configure AI/ML solutions to meet specific client technical environments, data landscapes, and integration requirements. Partner with client IT and delivery teams during UAT, go-live, and post-production support to ensure smooth solution adoption. Support solutioning and technical estimation during pre-sales and proposal stages for client engagements. Experience & Education 8-12 years of overall experience. Master's or Bachelor's degree in Computer Science or an Engineering discipline.