Top Machine Learning Jobs in Mexico

The role involves leading data engineering projects for the Space Force, integrating systems while managing teams and communicating with leadership.

Lead a team of data scientists to drive data analysis strategy for marketing and growth, ensuring quality and actionable insights.

As a Principal Quantitative Analyst, you will validate and develop financial models, assess risk, and drive automation strategies, utilizing machine learning and econometric methods to improve business analytics.

The Data Scientist will perform analytical tasks on large data sets to support data-driven decisions for engine engineering, including data gathering, mining, and model optimization.

As a Senior Data Scientist, you'll build machine learning models, collaborate with cross-functional teams, and leverage advanced technologies to enhance the customer experience through personalization.

Lead a team of Machine Learning Platform Engineers, driving MLOps practices and developing machine learning solutions, ensuring integration and automation.

Develop and deploy AI solutions for HR challenges using machine learning. Mentor junior team members while collaborating with data scientists and engineers.

Design and deploy AI solutions, mentor junior data scientists, and lead projects focusing on unstructured data and scalable ML models for HR applications.

Lead the data science team, integrate machine learning, ensure high-quality project delivery, and foster collaboration across departments to maximize data impact.

Lead a team of data scientists in delivering machine learning solutions to enhance marketing efficiency and customer account growth.

Lead AI and machine learning applications to enhance user safety, mitigate bad actors, and remove violating content on Hinge.

Lead optimization and enhancement of large language models (LLMs), collaborate with teams to ensure model performance, and mentor other engineers in a fast-paced environment.

Lead a team to develop underwriting capabilities using advanced analytics and machine learning, manage performance metrics, and coach employees in quantitative analysis.

Develop predictive models using machine learning to support business partners, present analysis results, and manage risk issues.

The Principal Data Scientist leads analytical initiatives, leveraging advanced analytics and machine learning to solve business problems and optimize strategies. They collaborate with cross-functional teams, develop analytics capabilities, and present findings to leadership.

The Data / Machine Learning Engineer at Trumid will be responsible for building reliable datasets and models for trading workflows. This role involves creating high-quality data systems while collaborating with technical and business stakeholders on system requirements. Candidates should have experience in data engineering and machine learning, including data ingestion, processing systems, and knowledge of supervised learning.

As a Machine Learning Intern at Ibotta, you'll build and validate models, run statistical analyses, and develop recommender systems while collaborating with a mentor.