Top Machine Learning Jobs in Tijuana

The role involves applying statistical techniques and health informatics for data analytics, report development, and healthcare trend reporting.

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.

The Manager, Business Analytics will lead the development of data science solutions, consult with clients, and mentor junior team members while analyzing large datasets to drive business insights.

The Lead Data Scientist develops analytics applications and models, utilizing data mining and machine learning to transform healthcare data into actionable insights and solutions.

The Data Analyst will conduct full lifecycle analysis, develop reporting capabilities, monitor performance, and identify improvements in data quality and efficiency.

The Senior Data Scientist will provide expertise in machine learning, oversee projects, support research, and work closely with technical teams.

Agap Technologies, Inc. offers online Machine Learning training with real-time instruction, immediate support, interview training, and OPT guidance for enrolled trainees.

As a Research Scientist, you will advance deep learning technologies, develop new techniques for LLMs, and ensure user success in training models.

The Data Management Lead oversees AI/ML governance, coordinates data use requests, ensures compliance, and manages a high-performing team.

The VP of Data will lead data strategy and execution, establish governance practices, oversee modern data platforms, and drive AI solutions in healthcare.

The Associate Global Forecasting Director will be responsible for U.S. short-term revenue forecasting, supporting European cluster forecasts, and collaborating with commercial and finance teams to provide actionable insights for decision-making.

As a Data Office Analyst at AIG, you will assist in data analysis, reporting, governance, and support data pipeline development within a rotational program designed for early career professionals.

As an ISRM Intern at Johnson & Johnson, you'll work on diverse technology assignments in areas like data engineering, AI, and UX design while gaining professional experience and contributing to solutions for business partners.

Responsible for designing, developing, and deploying ML models to optimize supply chain processes, collaborating with cross-functional teams, and mentoring junior scientists.

The role involves applying advanced machine learning techniques, focusing on NLP and deep learning while collaborating across teams to deploy models.

The role involves applying advanced machine learning techniques to time series analysis and reinforcement learning, collaborating across teams to deploy solutions, and researching new methodologies.

As a Machine Learning Scientist specializing in NLP, you'll develop advanced models for real-world applications and collaborate with various teams to integrate solutions into production.

The IT Analytical Engineer develops technical solutions for business intelligence, builds self-service analytics platforms, and supports data modeling processes.

The Data Scientist will develop strategies to extract insights from large datasets, implement data analysis methods, and communicate findings to both technical and non-technical audiences, requiring advanced knowledge in various data and statistical methodologies.

Develop, refine, and execute automated trading strategies using machine learning, conducting research to enhance trading algorithms and improving workflow efficiency.

As a Data Scientist at GliaCell, you'll utilize your software development and data analysis skills to support mission-critical software and systems for U.S. Government clients, focusing on adversary defeat and large datasets.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

The role involves leading data science initiatives, managing large datasets, developing predictive models, and building a high-performing analytics team.

This role involves providing risk analytics support in areas such as Credit and Fraud, leveraging AI for insights, and conducting in-depth data analysis for risk strategies.

The Senior Data Scientist analyzes large datasets to derive insights, applies machine learning techniques, builds data models, and communicates findings to influence product decisions.