Top Machine Learning Jobs in Mexico City

The Promoter Agencies Manager will oversee field marketing agencies to drive customer engagement and sales through a national demand generation strategy. Responsibilities include managing agency relationships, analyzing marketing metrics, and coordinating marketing initiatives.

The Senior Key Account Manager is responsible for expanding key partner relationships, driving profitable growth, leading a team, and optimizing account performance through data-driven strategies.

As a Data Scientist at Zicasso, you will analyze complex datasets, develop predictive models, and optimize customer experiences using AI and machine learning techniques, while collaborating with cross-functional teams.

The Key Account Manager oversees operations, manages strategic partnerships, optimizes sales, and leads a sales team, aiming for account growth and performance.

The Senior Tools & Metrics Manager will develop and maintain the tooling ecosystem for Operations, ensure effective data management, and collaborate with technical teams to enhance reporting and workflows.

Manage tech infrastructure for global support operations, optimize tool usage, oversee QA and training teams, and track performance metrics.

The Senior AI/ML Engineer will architect and develop AI/ML solutions, collaborate with teams, and ensure deployment compliance, especially in healthcare.

Train and evaluate AI models for computer vision tasks, assess model accuracy, create training data annotations, and suggest improvements for visual data interpretation.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

The Data & Automation Lead will oversee data cleansing, ingestion, and automation, collaborating with product and engineering teams to ensure data reliability and effectiveness in product features.

The Data Engineer will design and maintain scalable data pipelines and support ML workflows, ensuring reliability and performance of data systems.

Manage a team of cloud engineers and architects, oversee data delivery engagements, handle technical responsibilities, and interface with clients for technical improvements.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

The Solutions Consultant will engage with customers to deploy Snowflake solutions, enhance internal tooling, and deliver outcomes for modernization projects.

As a Senior Software Engineer, you'll design and maintain API solutions, collaborate with cross-functional teams, and ensure software quality through testing and documentation.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

Seeking a Machine Learning Architect to lead AWS solutions by designing ML systems, mentoring peers, and managing project deliverables. Responsibilities include backlog management, troubleshooting, automating tests, and ensuring client satisfaction.

Architect, build, and deploy production-grade ML systems: process massive datasets, design offline/online feature pipelines, train and productionize tree and neural models, implement MLOps, monitor drift, and run rigorous A/B experiments to drive business metrics.

The Machine Learning Engineer / Data Scientist will build and deploy machine learning solutions, translating business needs into ML problems, working with data analysis, model development, and productionization tasks.

Lead design, development, and deployment of production ML models. Work with large datasets to build predictive pipelines, collaborate with data engineers on cloud architectures, automate MLOps/CI-CD, mentor junior staff, and communicate insights to stakeholders to inform business decisions.

Lead technical client engagements in machine learning and AI, shape strategy, influence architecture, and ensure high-quality outcomes for clients by leveraging AWS services.

The role involves designing and implementing GenAI and MLOps solutions, developing production-ready ML code, and collaborating with Data Science teams to integrate AI models. It demands hands-on experience in data processing, cloud architectures, and AI concepts.

As a Senior Machine Learning Engineer, you will collaborate on LLM applications, focusing on scalability, API integration, and data management for production-quality systems.