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About KTSA We are KTSA – KPMG Technology Services Americas. A Service Delivery Center of KPMG US, with offices in Mexico City, Guadalajara, and a growing network of remote talent across the country. We deliver high-value technology, consulting, and corporate support services to KPMG US and its clients. At KTSA, our Employer Value Proposition is clear: Explore . Explore isn’t just a word — it’s how we grow, lead, and thrive. It’s the mindset that drives our culture and shapes every opportunity: Experience a collaborative, inclusive, and multicultural workplace where you belong. Excel by creating impact and leaving your mark on global projects. Expand your potential with real career paths, learning programs, and mentorship. Express your individuality — come as you are, and thrive as your authentic self. And because we know that thriving at work also means thriving in life, we back this mindset with KTSAMÁS , our total rewards program, designed to support your well-being, goals, and personal milestones. To provide direct, hands-on leadership and technical oversight to the KTSA developer POD. This role was created to instill structure and best practices into the local development process. The Development Manager is responsible for managing the team's execution, ensuring the delivery of high-quality AI solutions, and mentoring the technical talent within the KTSA center. Responsibilities Lead and Mentor the Technical Team: Provide clear direction, guidance, and mentorship to the development POD, fostering a collaborative and inclusive environment and ensuring the quality of all technical deliverables meets team standards. Oversee the Development Lifecycle: Implement and manage an agile development process, overseeing the end-to-end lifecycle from technical design through to testing and deployment. Ensure Technical Quality and Adherence to Standards: Conduct code reviews and ensure the team delivers high-quality, scalable code that aligns with the established architectural framework. Partner for Execution: Collaborate closely with the KTSA AI Lead to translate project goals into actionable technical requirements and development sprints. Report on Technical Progress: Track and report on team velocity, project status, technical risks, and timelines to the KTSA AI Lead. Qualifications AI Development Lifecycle: Knowledge of the end-to-end software development lifecycle (SDLC) as it applies to building AI/ML solutions. This includes managing agile sprints, overseeing data preparation, guiding experimentation, and managing the model development, testing, and deployment phases. (e.g., applying agile/scrum methodologies to an ML project, managing a backlog of AI features)) DevOps for AI (MLOps): A practical understanding of the principles for operationalizing AI models to ensure they are robust, scalable, and maintainable. This includes building CI/CD pipelines for models, versioning for both data and code, and monitoring model performance in a production environment. (e.g., implementing automated model retraining pipelines, using Git for model version control)) AI Solution Prototyping: The ability to guide a team in rapidly building and iterating on AI prototypes. This involves proficiency with scripting languages and using both low-code and pro-code tools to quickly test hypotheses and build Minimum Viable Products (MVPs) for new AI solutions. (e.g., building a simple chatbot using a vendor API, creating automation scripts in Python)) AI Quality Assurance: Knowledge of the methods and frameworks for testing and validating AI and ML systems. This includes understanding model evaluation metrics, strategies for ensuring data quality, and techniques for identifying bias and performance degradation in models. (e.g., establishing a process for A/B testing models, creating a test suite for data validation)) Experience: Minimum of five years of recent experience in a technical role, with at least two years spent managing or leading software development teams. Technical Management: Strong understanding of the full SDLC, agile methodologies, and modern software engineering principles. Strong problem-solving skills with the ability to react quickly to technical problems during complex project sprints. Education: Bachelor's degree in Computer Science, Engineering, or a related technical field. And because we know that thriving at work also means thriving in life, we back this mindset with KTSAMÁS , our total rewards program, designed to support your well-being, goals, and personal milestones. Expand your possibilities with KTSA through KTSAMÁS, where you can access: Extended maternity, paternity, and adoption leaves Above-market vacation benefits Hybrid work model Learning opportunities, training, and certification programs Extended marriage leave and daycare support Wellness and Employee Assistance Programs (EAP) Comprehensive medical plan, life insurance, car insurance, and funeral assistance Visit to learn more. At KTSA, we celebrate and support everyone’s individuality. We do not discriminate against any race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, or disability. We are supportive of helping you to achieve a balance between your home and work demands. We are happy to discuss specific requirements and our range of flexible working arrangements could be of interest. Please ask to find out more. We strongly state that we DO NOT require a certificate of non-pregnancy or HIV in order to participate in any of our processes. Explore KTSA, we dare to be different! Home - KTSA KTSA - KPMG Technology Services of Americas