Top Machine Learning Jobs in Tijuana

Design, build, and maintain production-grade ML systems and AI agents for large-scale natural language data. Prototype and evaluate models, collaborate with cross-functional teams, and deliver data-driven solutions addressing legal and business problems.

Design, train, and evaluate machine learning algorithms on high-dimensional data to produce practical predictive models. Improve NLP and machine perception using random forests, deep learning, and generative modeling; iterate experiments and translate findings into deployable applications.

Design, build, and maintain scalable data and ML pipelines, manage vector stores and RAG workflows, integrate LLM frameworks for training and inference, enable semantic search and AI-driven BI, and document data processes while partnering with stakeholders.

Lead a team of ML engineers, manage client engagements, and provide strategic advisory on ML architecture while driving pre-sales. Ensure team growth and quality of deliverables.

Lead technical client engagements in machine learning and AI, shape strategy, influence architecture, and ensure high-quality outcomes for clients by leveraging AWS services.

Design and implement scalable Generative AI architectures, build Python services, integrate LLMs, oversee deployment operations, and evaluate emerging technologies.

Design, train, and refine machine learning algorithms on high-dimensional data to produce practical predictive models. Apply random forests, deep learning, generative modeling, and neural-network techniques to improve NLP and machine perception for real-world applications.