• Engage regularly with model developers, validators, and risk stakeholders to understand their evolving data needs for model development, monitoring, and governance. • Partner with credit analytics, risk, fraud, marketing, and operations functions to identify, define, and prioritize use cases requiring model-ready data. • Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices. • Support pipeline development by designing and maintaining automated end-to-end ML pipelines for data collection, preprocessing, feature engineering, and model training. • Conduct data transformation by converting raw observations into variables (features) that machine learning models can understand, such as turning timestamps into cyclical time features. • Transforming theoretical data science prototypes into robust, high-performance software systems that can handle large volumes of real-time data. • Build and maintain automated pipelines that handle not just code, but also data validation, model training, and artifact management. • Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes). • Provide thought and technical leadership in generating new signals from raw data by applying techniques such as normalization, scaling and categorical encoding. • Integrate data pipelines with model lifecycle platforms, MLOps tools, and observability solutions to ensure seamless model performance tracking. • Partner with model risk and compliance teams to ensure data lineage, audit trails, and documentation are preserved and accessible for regulatory reviews (e.g., SR 11-7 compliance).

Keller Executive Search is seeking a dynamic Software Development Manager to lead a talented engineering team dedicated to advancing AI-driven software products in the defense sector. In this role, you will oversee software development projects from conception through deployment, ensuring high-quality deliverables that meet stringent regulatory and performance standards. You will collaborate closely with cross-functional teams including product management, AI researchers, and hardware engineers to drive innovation and maintain agile development practices within the team. The Software Development Manager will be critical in mentoring engineers, managing resources and schedules, and fostering a culture of continuous improvement and technical excellence within the software organization.

• Analizar, modificar y probar componentes COBOL para reemplazar funcionalidades basadas en IDMS, asegurando la correcta migración hacia Db2 en z/OS. • Ajustar y optimizar código COBOL con SQL/Db2 (cursors, commits, locks, precompilación) y acceso a tablas Db2. • Diseñar, ejecutar y documentar pruebas unitarias e integradas; colaborar en la resolución de defectos y acciones de hardening. • Participar en el plan de corte: pruebas finales, sincronización incremental, control de errores, y ejecución de rollback si fuera necesario. • Preparar y mantener JCLs, jobs batch y artefactos de despliegue; colaborar con equipos globales de Legacy Transformation bajo prácticas ágiles. • Documentar cambios técnicos y funcionales, promoviendo buenas prácticas de calidad y observabilidad en mainframe.

Company Background Our client, a division of one of the world’s largest healthcare diagnostics and drug development organizations, is focused on empowering healthcare professionals with data-driven insights and innovative digital tools. With over 70,000 employees in more than 100 countries, the company plays a critical role in improving lives through science, technology, and compassionate care. Project Description We are helping the client's team to build out a commercial version of an earlier developed MVP, which is created to help doctors manage and process lab tests remotely and online. Technologies - Java - RESTful - Spring Core - Spring Integration - Spring Boot - Spring MVC - Spring Data - Spring Security - HTML5 and CSS3 - GIT and CI/CD practices and tools - AWS What You'll Do - Design and implement complex software solutions using Java and Spring ecosystem; - Develop and maintain RESTful APIs and backend services; - Follow and promote SDLC best practices, including code reviews, branching, deployment, and documentation; - Work closely with the team in an Agile environment to deliver high-quality software; - Maintain and improve CI/CD pipelines and development workflows; - Ensure code quality, performance, and maintainability of the system; Job Requirements - 3+ years of experience in mplementation of complex solutions; - 3+ years of hands-on implementation experience in the following skills: JavaRESTful, Spring Core, Spring Integration, Spring Boot, Spring MVC, Spring Data, Spring Security, HTML5 and CSS3; - Understanding of GIT and CI/CD practices and tools; - Excellent verbal and written communication skills required; - Comfortable working in an Agile environment; - Knowledge of English from Intermediate; Nice-to-Have - Experience with driving design sessions with stakeholders, decomposing the goals into small deliverables, and ensuring implementation meets the stakeholders' goals; - Building solutions hosted in AWS; - Proficiency with data structure, algorithm analysis; - Experience with Healthcare domain; - Experience with Terraform and Jenkins; What Do We Offer The global benefits package includes: - Technical and non-technical training for professional and personal growth; - Internal conferences and meetups to learn from industry experts; - Support and mentorship from an experienced employee to help you professional grow and development; - Internal startup incubator; - Health insurance; - English courses; - Sports activities to promote a healthy lifestyle; - Flexible work options, including remote and hybrid opportunities; - Referral program for bringing in new talent; - Work anniversary program and additional vacation days.