Top Machine Learning Jobs in Mexico City

As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of ML models to assess the risk of different business classes. You will analyze structured and unstructured data to derive insights, collaborating closely with product management and software engineers in a sprint-driven environment.

The Director, Analytics and Data Platform Delivery leads teams in managing and delivering analytic/data platforms, ensuring alignment with Pfizer's strategic vision. Responsibilities include overseeing design, security, compliance, and financial management of data technologies while fostering innovation and collaboration with senior leadership and external partners.

The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.

The role involves managing client service accounts, supervising teams, and leveraging technology and data analysis to improve decision-making in deals. Key responsibilities include coaching team members, maintaining quality deliverables, and building tech-driven solutions for client engagements.

As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to evaluate business risk. You'll analyze structured and unstructured data to derive insights, working closely with product management and software engineers in a dynamic, sprint-driven environment.

As a Machine Learning Researcher at Citadel Securities, you will apply advanced machine learning and AI techniques to analyze datasets, back-test models, and document your findings. Your work will contribute to developing innovative trading strategies in a fast-paced environment.

Design and build the next generation library for deep learning within the firm. Empower researchers to iterate faster and perform experiments that were not possible before. Work with HPC experts to optimize workflows and deliver improvements in training speed and cost savings.

The Software Engineer will play a key role in the Core Machine Learning team at Whatnot, driving the development of machine learning operations, deploying models on critical business surfaces, and improving infrastructure for new use cases. Duties include developing scalable machine learning design patterns and advancing technical approaches to machine learning while mentoring team members and communicating effectively across product teams.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for massive data sets, and enhance ML platforms. Your responsibilities include implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies.

As a Machine Learning Engineer at ZS, you'll develop and maintain ML models, implement MLOps, scale algorithms for large datasets, and collaborate with teams to ensure high-quality deliverables. Your responsibilities include building model pipelines, writing production-ready code, and exploring new technologies to innovate AI solutions.

The Senior Machine Learning Engineer at Samsara will be responsible for developing ML solutions to enhance the safety, efficiency, and sustainability of physical operations. This remote position requires working closely with engineering teams to deliver core infrastructure and services.

As a Data Scientist Associate, you will collaborate with various teams to gather requirements and work on analytics related to Chase's branch and ATM distribution network. Responsibilities include developing algorithms for large geospatial datasets, implementing ML models, and documenting analytics processes to meet control obligations.

As a Senior Data Scientist, you will lead analytics projects, analyze user behavior, develop KPIs, conduct A/B testing, implement statistical models and machine learning algorithms, and collaborate with cross-functional teams to drive business impact and growth.

As a Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess risk across various business classes using structured and unstructured data sources. You will have full ownership of your projects, collaborating closely with Product Management and Software Engineers during two-week sprints.

The Senior Applied Scientist will work on enhancing customer and service provider matching, developing machine learning models, analyzing marketplace dynamics, and evolving monetization strategies to improve the user hiring experience on Thumbtack's platform.

As a Principal ML Infrastructure Engineer, you will define and drive the technical vision for Thumbtack's ML infrastructure, lead cross-functional initiatives, architect scalable ML systems, establish engineering standards, mentor teams, and align infrastructure capabilities with business objectives.

As a Senior Research Scientist at Kensho, you will develop innovative solutions in Machine Learning and NLP, focusing on complex tasks like long-context QA and document extraction. Collaborate with a team to enhance existing models, create evaluation benchmarks, and engage in academic partnerships, all while utilizing advanced computational resources.