Top Machine Learning Jobs in Tijuana

The Data Annotator role involves reviewing live videos for risk identification, adhering to guidelines for data annotation, ensuring timely data delivery, and contributing to the improvement of annotation procedures while collaborating within a 24/7 operational framework.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

The role involves optimizing manufacturing processes using AI technology, engaging with plant personnel, and supporting model results and insights delivery.

Join Imubit as a Control System Engineer, integrating AI with DCS for process control in industrial settings. Collaborate on projects and improve system performance, requiring 5+ years of experience.

The Senior Technical SEO Specialist focuses on programmatic SEO and automation, improving site performance through technical expertise and collaboration. They drive data-driven experimentation and implement automated SEO solutions across multiple websites.

The Senior Data Scientist II will develop LLM-based applications for legal use-cases, design data pipelines, evaluate model performance, and collaborate with experts to build data-driven solutions.

Lead the design, development, and maintenance of AI/ML solutions while ensuring adherence to agile best practices, collaborating with stakeholders, and implementing security measures.

The AI/ML Director will lead the development of AI solutions, overseeing technical design, architecture, and project implementation while fostering an agile and quality-first environment.

The ML/AI Associate Director will lead the Foreseer AI team, overseeing platform development and technical design, while fostering an agile culture. Responsibilities include collaboration with stakeholders, compliance, and documentation.

This role involves building scalable generative AI solutions on GCP, focusing on architecture, AI agent development, document processing, optimization, and enterprise integration.

The ML Engineer will productionize machine learning models, enforce engineering standards, collaborate with Data Scientists and Engineers, and mentor junior staff.

Design and maintain data pipelines, implement analytics solutions, manage machine learning workflows, and collaborate with stakeholders in BI initiatives.

As a Senior Machine Learning Engineer, you will collaborate on LLM applications, focusing on scalability, API integration, and data management for production-quality systems.

The Machine Learning Engineer will design and deploy ML models for threat detection and narrative analysis, working with NLP and large datasets.

Lead a team of ML engineers to deliver AI/ML solutions on AWS, drive strategic initiatives, enhance practice development, and ensure technical excellence.

Design and maintain data pipelines, work on LLM-driven applications, and optimize workflows while collaborating with stakeholders in the BI team.

The Senior Machine Learning Engineer II will develop and integrate LLM applications, ensure their scalability, and collaborate with cross-functional teams to enhance product features.