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Job Summary: We are seeking a Technical Leader with experience in developing and leading data and artificial intelligence solutions, combining advanced technical skills with strategic leadership. Key Highlights: 1. Development of innovative products focused on AI and data. 2. Culture of best practices, modern architecture, and collaborative work. 3. Opportunities for technical growth and continuous training. We seek a Technical Leader with experience in developing and leading data and artificial intelligence solutions. This role combines advanced technical skills with strategic leadership to guide teams in creating innovative products that leverage the power of data and AI. The ideal candidate will be responsible for defining the technical architecture, overseeing solution implementation, and ensuring alignment with business objectives. **Key Responsibilities** * Define and oversee the technical architecture of data and artificial intelligence products. * Lead multidisciplinary teams in developing AI solutions, including machine learning models, natural language processing, anomaly detection, and pattern recognition. * Collaborate with stakeholders to understand business needs and translate them into effective technical solutions. * Ensure code quality and development best practices through reviews and mentoring. * Implement and optimize data pipelines to support AI models in production. * Oversee and design architectures for software products integrating artificial intelligence modules. * Stay up to date with the latest trends and technologies in artificial intelligence and data. **Requirements** *1\. Minimum 5 years of technical experience leading advanced analytics, data science, or AI-based product projects.* *2\. Experience designing and implementing anomaly and behavioral pattern detection solutions, especially in risk or fraud contexts.* *3\. Solid knowledge of supervised and unsupervised machine learning (regression, decision trees, clustering, SVM, boosting, etc.).* *4\. Knowledge of graph theory applied to community detection, entity relationship analysis, and complex network analysis.* *5\. Implementation of ML/AI pipelines in production, including automated monitoring and retraining.* *6\. Experience developing fraud detection models, risk scoring models, or models based on transactional behavior.* *7\. Experience designing and implementing microservices and event-driven architectures.* *8\. Experience with relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Neo4j).* *9\. Experience implementing multicloud solutions on Azure, AWS, and (desirable) GCP.* *10\. System integrations via RESTful APIs, GraphQL, and asynchronous messaging (e.g., Kafka, RabbitMQ, Azure Service Bus).* *11\. Hands-on approach, with ability to lead technically and actively participate in coding, model review, and architecture definition.* ***Plus / Desirables (Nice to Have)*** * *Proficiency in Python and frameworks such as Scikit-Learn, PyTorch, TensorFlow, NetworkX, or similar.* * *Knowledge of the WhatsApp Business ecosystem: official API, message categories, pricing model, and cost-optimization strategies.* * *Knowledge of data governance and data security.* * *Experience with containerization and orchestration tools (Docker, Kubernetes, Airflow, etc.).* * *Familiarity with multiple programming languages such as C# (.NET), Java, Golang.* * *Data monetization.* **Benefits** * Development of innovative products focused on AI and data. * Culture of best practices, modern architecture, and collaborative work. * Opportunities for technical growth and continuous training. * Remote or hybrid work model. Remote from Mexico / Hybrid (CDMX or Guadalajara)
