Top Machine Learning Jobs in Tijuana

The Vice President of Data and Business Intelligence will create strategies for data governance, analytics, and insights to support business decisions and growth while managing a team.

As a Data Scientist, you will build algorithms, enhance data pipelines, and collaborate with teams to improve healthcare provider recommendations.

The Staff Machine Learning Engineer will lead technical strategy, collaborate on product development, ensure operational excellence, and foster team quality and ownership.

The Senior Machine Learning Engineer will innovate, build, and optimize recommendation and classification models, collaborating with product and engineering teams to enhance performance and drive business insights.

Lead productionizing machine learning applications and systems, collaborate with cross-functional teams, and design ML models and infrastructure for business solutions.

The Machine Learning Engineer will create models, evaluate technical tradeoffs, and ensure code quality, focusing on scalable products.

As a Data Scientist, you'll develop analytical solutions using machine learning for banking domain problems, collaborating with multiple teams to deploy them into production.

The role involves leading machine learning initiatives, developing advanced models, and collaborating with teams to enhance productivity and decision-making processes across the firm.

The Manager, Data Science will lead a team of data scientists in developing machine learning models and data analysis to enhance banking experiences and security.

Lead the design and development of Contact Center AI solutions, manage a team, and enhance customer engagement through innovative strategies.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

As a Machine Learning Scientist, you'll apply machine learning methods to NLP tasks, develop models, collaborate with teams, and drive initiatives.

The Senior Machine Learning Engineer will enhance a platform for data scientists, lead ML service development, and collaborate cross-functionally to deliver AI solutions.

As an ML Model Risk Specialist, you will manage model risk programs, collaborate with teams, answer model inquiries, and ensure compliance with regulations.

Responsible for implementing and managing FCC models to detect suspicious activities, ensuring data quality, conducting assessments, and optimizing analytics tools with key stakeholders.

Conduct rigorous research using statistics and machine learning to extract patterns from datasets. Implement algorithms, back-test models, and document findings.

As a Data Scientist, you will analyze data, develop AI models, and deploy solutions using GCP and AWS, collaborating with teams.

Interns will engage in data science, engineering, and analytics roles, utilizing data to provide insights and improve decision-making processes for Chevron.

As a Machine Learning Engineer, you'll build data models and ML systems to help small businesses leverage data for real estate decisions. You'll work on ML Ops tooling and collaborate with teams to enhance their workflows.

SirenOpt is looking for individuals interested in potential future opportunities. Interested candidates can submit their resumes for consideration.

Join Luma AI's talent community for future roles in research, engineering, product management, or marketing. Participate in R&D and stay updated on opportunities.

The Senior Data Scientist will develop production-level machine learning models, work on recommendations and search using NLP, and contribute to high-performance code. They will collaborate with a team to solve challenges and enhance solutions.

Join a team to solve data-related challenges using statistical methods, machine learning, and code development for production-level models.

The Senior Data Scientist analyzes data using predictive models and algorithms, collaborates with business partners, and communicates findings to improve healthcare outcomes.

The Sr. Data Scientist develops analytics models and data solutions, utilizing data mining, machine learning, and statistical analysis to optimize health metrics and inform customer engagement.