Top Machine Learning Jobs in Tijuana

Build and design machine learning infrastructure for data scientists, optimize resources, deploy models, and monitor MLOps within a satellite data context.

Lead the development and implementation of machine learning solutions for the insurance industry, mentoring junior developers and optimizing AI/ML workflows.

Design and implement automated experimentation systems for AI BDR, build dynamic learning systems, and create reinforcement loops for real-time adjustments.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

Analyze large datasets and develop machine learning models for immunotherapy drug optimization. Collaborate with teams to provide insights and recommendations.

As a Machine Learning Engineer, you will develop and deploy ML models, handle data challenges, and optimize model performance while collaborating with various teams.

Conduct research and development to enhance NLP models aimed at improving market research methodologies using AI and Crowd Intelligence.

The Staff Machine Learning Engineer will design and scale data solutions, build ML pipelines, mentor teams, and improve ML infrastructure for global lending products.

The Machine Learning Engineer will develop machine learning models, build data pipelines, and collaborate with teams to identify customer needs. Responsibilities include training and validating deep learning models and presenting performance results.

The MLOps Engineer is responsible for GCP setup for machine learning models, ensuring seamless deployment and optimal infrastructure, along with monitoring and compliance.

The Machine Learning Engineer will implement MLOps practices, manage model performance, collaborate with teams, and optimize machine learning pipelines.

Design and implement machine learning models to enhance search relevance and improve the retrieval systems for a better customer experience.

As an intern, you will research and implement algorithms in computer vision and machine learning, developing new features for Sony's digital imaging technology.

Design and develop machine learning models and systems, collaborate with cross-functional teams, and provide mentorship to junior members, focusing on creating impactful recommendation systems.

As a Machine Learning Engineer, you will deploy models to production, manage data pipelines, and collaborate with partners, focusing on MLOps best practices.

Design and implement machine learning models to improve Risk and Fraud detection systems. Lead technical strategy and partner with operations to address rapidly evolving challenges.