Top Machine Learning Jobs in Tijuana

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

Conduct R&D on attention-based models, improve model architectures, perform distributed training, and shape new benchmarks for foundational AI models.

The VP of Risk Data Science & AI at PayPal will modernize fraud risk decisioning using leading technologies, build strong teams, and influence key stakeholders.

The Manager of Data Quality will lead and mentor the Systems Acceleration & Data Quality team, overseeing data integrity and driving quality initiatives using AI and machine learning tools. Responsibilities include strategic partner collaboration, maintaining data quality trends, and managing vendor relations.

The Director will lead the Global BI Lab, driving analytics strategy, developing machine learning models, and collaborating with cross-functional teams to enhance decision-making and business performance.

The role involves overseeing data analytics to prevent fraud, deploying strategies for account assessments, and collaborating with various teams to improve risk identification and project delivery.

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.

Develop and implement data solutions and predictive models utilizing analytics tools to transform large datasets into meaningful insights and support decision-making in healthcare.

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

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.