Top Machine Learning Jobs in Mexico City

The Sr. Applied Machine Learning Scientist will design and deploy advanced machine learning models for product discovery, utilizing technologies like NLP and computer vision while collaborating with ML scientists and engineers to integrate solutions into Grainger's platforms.

As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.

The Machine Learning Infra Engineer will bridge the gap between data science and production systems by optimizing models for runtime performance, designing scalable MLOps pipelines, and implementing monitoring frameworks. They will work closely with data scientists to improve workflows and ensure reliability across the system, while also developing data versioning and deployment strategies.

As a Staff Machine Learning Ops Engineer at Grubhub, you will architect and develop scalable MLOps pipelines, oversee monorepo management, implement monitoring frameworks, drive platform improvements, enhance engineering standards, and establish processes for data lineage and model management.

The Senior Machine Learning Engineer will develop innovative pricing algorithms, navigate complex datasets, and lead models from conception to production while collaborating with cross-functional teams in a fast-paced environment.

As a Staff Machine Learning Engineer, you will lead the design and development of Generative AI solutions for Firefox, focusing on building infrastructure and ensuring model performance and reliability. This role involves collaborating with cross-functional teams and mentoring junior engineers.

As a Staff Data Engineer, you will lead the design, development, and maintenance of data infrastructure and pipelines, ensuring efficient access to data for business intelligence and analytical needs. You will mentor junior engineers while overseeing data integration projects and driving the technical vision of the department, ensuring alignment with Zoro's strategic goals.

The Sr. Data Scientist at Empower is responsible for the entire model development process, including creating and enhancing credit risk models, partnering with various teams to implement solutions, and driving business growth through data-driven insights.

The Principal Data Scientist will develop innovative machine learning models and build a data-driven culture that enhances customer financial inclusion. Responsibilities include feature engineering, collaborating with teams to adopt models, and establishing data science standards. The role entails solving high-impact challenges related to marketing, product development, and user experience personalization while monitoring and updating production models.

The Senior Machine Learning Engineer will design and implement machine learning applications, collaborate with cross-functional teams, optimize data pipelines, and ensure high availability of ML systems. Responsibilities include building ML models, automating tests and deployments, and monitoring production models while following best practices in AI.

As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.

As a Machine Learning Engineer II, you will develop and deploy machine learning solutions for inventory optimization, collaborating with data scientists and automating data processes. Your role involves creating scalable data analyses, managing ETL pipelines, and exploring innovative technologies to enhance our analytics capabilities.

As Sr. Director of Data, Analytics, and AI at NinjaTrader, you will lead efforts in data infrastructure, data science, business intelligence, machine learning, and AI. Your role involves managing a team, executing the technical roadmap, ensuring data governance, and fostering collaborations across departments to support data-driven decision-making and enhance user experience.

As a Machine Learning Engineer II on the ML Fraud team at Affirm, you will develop models to predict fraud likelihood using proprietary and third-party data. You will collaborate across teams to improve fraud detection capabilities, implement data pipelines, and create innovative solutions for emerging fraud patterns, impacting financial performance significantly.

As a Perception Software Engineer at Zipline, you will be responsible for developing and implementing innovative perception systems for autonomous aircraft. This includes selecting sensor configurations, designing algorithms for object perception and avoidance, building software infrastructure to improve algorithms, and collaborating with various teams for effective decision-making processes.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.

Lead AI/ML Scientist role at Datasite, leading AI/ML projects from conception to implementation, optimizing AI models, and collaborating with cross-functional teams to enhance product offerings and customer satisfaction.