Top Machine Learning Jobs in Tijuana

Lead the data science strategy, mentor a team of data scientists, oversee AI model deployment, and ensure measurable business impact.

The Staff Fullstack Engineer will drive technical excellence and innovation, focusing on AI-driven talent matching, mentor engineers, and collaborate across teams to shape technical strategy.

The Director of Engineering for Enterprise Data Management will lead the design and implementation of a master data management platform, focusing on data quality, governance, and digital transformation initiatives across the company.

Seeking a machine learning engineer to build solutions for personalization, automated experimentation, predictive modeling, and content generation, impacting customer interactions.

As the founding ML Engineering Manager, you'll develop and execute ML strategies, lead engineers, prototype LLM-powered features, and enhance engineering practices within a diverse team.

The Solutions Consultant will engage customers in migrating to Snowflake, delivering results during modernization projects while providing feedback for internal tooling improvements.

As a Product Manager for Risk, you'll design fraud prevention tools, manage cross-functional teams, and improve fraud detection methods.

The Account Executive is responsible for prospecting and closing new business in the enterprise market, achieving sales quotas, and building customer relationships. This role involves executing complex sales strategies, collaborating with cross-functional teams, and providing expert knowledge of Snowflake's products.

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 Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

Join Articul8 AI as an Applied AI Researcher to conduct research, design AI models, and advance generative AI capabilities. Collaborate with teams and publish findings.

The Principal AI Researcher will lead GenAI research, design and implement new models, mentor teams, and guide product development strategies.

Lead a team of data scientists, manage projects, and develop data-driven solutions to enhance company operations and customer experiences.

Lead regional partner ecosystem, focusing on GSIs and Banking Resellers. Drive revenue growth, manage partner relationships, and develop strategic initiatives.

The IA Engineer will design, develop, and implement AI systems and algorithms, focusing on solutions for pattern recognition, decision-making, OCR, and NLP using programming skills and machine learning techniques.

The Lead Data Scientist drives analytics initiatives, develops statistical models, mentors junior team members, and communicates insights to stakeholders.

The contractor will develop machine learning algorithms, maintain data pipelines, conduct data analysis, and validate models through experimentation.

The Senior/Staff AI Researcher will lead research in Generative AI, focusing on model improvement, algorithm development, and product integration while managing cross-functional collaborations and monitoring industry trends.

The job involves developing cloud applications using GCP, AWS, or Azure, with skills in NodeJS or Python and AI concepts including Machine Learning and Computer Vision.

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

The Senior ML Engineer will develop and deploy machine learning solutions, optimize models, and collaborate with teams to enhance cybersecurity efforts.

The Staff Machine Learning Engineer will design, develop, and deploy scalable ML algorithms, lead experimentation, and collaborate across teams to enhance AI solutions.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

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