Top Machine Learning Jobs in Tijuana

As a Senior Data Scientist, you will design, implement, and maintain recommendation systems, utilizing machine learning and predictive analytics. You'll collaborate with business stakeholders to leverage data science for decision-making, optimize models for predictive accuracy, and communicate complex concepts to non-technical audiences.

The Data Wrangler/Analyst 1 at Black Canyon Consulting is responsible for developing plans for project integration, evaluating data science methodologies, conducting analyses for strategic planning, and ensuring compliance with regulations. The role includes technical support for programs and managing administrative tasks while utilizing various software applications.

The ML Research Scientist role involves developing and optimizing machine learning techniques for scene retrieval and search, working with large data sets for effective application in autonomous driving systems. Key responsibilities include building efficient ML data pipelines, applying advanced deep retrieval techniques, and collaborating with teams to deploy solutions that enhance the NuroDriver's performance.

As a Senior/Staff ML Research Scientist at Nuro, you will research and develop advanced machine learning techniques to enhance scene retrieval and search capabilities for autonomous driving systems. In this role, you'll create ML data pipelines, collaborate with infrastructure teams, and implement innovative solutions while maintaining a focus on practical applications for real-world impact.

The Head of Data is responsible for leading data strategy and infrastructure, driving innovation in data analytics, and ensuring the reliability and scalability of data systems. This role involves leading a team of data engineers and analysts while collaborating with cross-functional teams to deliver actionable insights aligned with organizational goals.

The Artificial Intelligence Integrator will support NATO's wargaming capability development by integrating AI techniques. Responsibilities include collaborating with experts, enhancing wargaming activities, developing AI-related materials, conducting experiments, and providing data analytics to improve decision-making processes.

The Senior Machine Learning Engineer will design and develop NLP applications to enhance data analytics software. Responsibilities include creating annotated datasets, implementing cutting-edge technology, developing algorithms, and collaborating with various teams to optimize model performance and efficiency.

The Machine Learning Engineer will design and implement advanced machine learning solutions to automate manual processes and improve data analysis. Responsibilities include developing machine learning models, software specifications, optimizing performance, and collaborating with cross-functional teams for continuous improvement and innovation.