Líder Técnico – Conversational AI

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Define, oversee, and design the technical architecture of data-driven and artificial intelligence solutions, establishing the technological vision and selecting appropriate tools and frameworks.

• Lead multidisciplinary teams in the design, development, and operation of machine learning solutions, generative AI, and natural language processing, including microservices and event-driven architectures.

• Validate the model lifecycle with the MLOps team: training, validation, deployment with CI/CD, monitoring, and retraining.

• Deploy and integrate chatbots on WhatsApp, including understanding the pricing model per message, categorization (marketing, authentication, utility), and seamless integration with human agents for escalation and resolution.

• Actively collaborate with product, business, and UX areas, translating strategic requirements into scalable and sustainable technical solutions.

• Ensure technical quality by promoting best development practices, code reviews, defining standards, and performance metrics.

• Explore and adopt new AI technologies (supervised/unsupervised models, anomaly detection, graphs, generative AI), staying updated on trends and best practices.

• Ensure data governance and security, adhering to privacy policies, access control, and regulatory compliance.

⛳️ Requirements

• Proven experience (5+ years) leading AI, data science, or advanced analytics projects, including at least 2 years with LLMs or generative AI.

• Experience in the design and implementation of anomaly detection and behavioral pattern solutions, particularly in risk or fraud contexts.

• Strong knowledge of supervised and unsupervised machine learning (regression, trees, clustering, SVM, boosting, etc.).

• Proficiency in Python and machine learning frameworks such as Scikit-Learn, PyTorch, and TensorFlow.

• Experience in backend architecture, microservices design, REST APIs, relational databases (PostgreSQL, SQL Server) and NoSQL (MongoDB, Neo4J, etc.), and asynchronous messaging (Kafka, RabbitMQ, etc.).

• Knowledge of the WhatsApp Business ecosystem: official API, message categories, pricing model, and cost optimization strategies.

• Experience designing and implementing microservices and event-driven architectures.

• Familiarity with Docker, Kubernetes, CI/CD, monitoring systems, training pipelines, and continuous deployment.

• Strong understanding of NLP techniques, anomaly detection, and graph theory, with practical application in business solutions.

• Hands-on approach, with the ability to technically lead and actively participate in coding, model reviews, and architecture definition.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.

• Health and wellness programs.