Top Machine Learning Jobs in Mexico City

The role involves combining software engineering with machine learning to create scalable workflows for deep learning, developing backend infrastructure for cloud and mobile inference, and building data management systems for collection and evaluation of machine learning data.

Snap Inc is looking for a Machine Learning Engineer to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products. Strong understanding of machine learning algorithms and frameworks like TensorFlow is required.

Snap Inc is looking for a Machine Learning Engineer to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products with exceptional code quality. Strong collaboration, mentorship skills and machine learning expertise are required.

Snap Inc is looking for a Staff Machine Learning Engineer to create models that drive value for users, advertisers, and the company. The role involves evaluating technical tradeoffs, performing code reviews, building scalable products, and iterating quickly without compromising quality.

As a Principal Machine Learning Engineer at Snap Inc, you will design and scale machine learning components and services, build a training framework for large-scale model training, optimize training performance using GPUs, develop an AutoML platform, and collaborate across teams to deliver innovative solutions, while advocating for best practices in scalability and operational excellence.

As a Senior Machine Learning Engineer on the Personalization team, you will leverage machine learning to enhance customer experiences and drive growth for Cash App. You will work closely with product and marketing teams to develop and deploy machine learning models tailored to customer interactions, utilizing a rich data set for personalized recommendations.

As a Security Assessment Analyst at SailPoint, you'll assist pre- and post-sales teams by completing security assessments and questionnaires, focusing on security controls and product safety. You'll need to understand technology and regulatory issues while maintaining high attention to detail. Responsibilities include improving security assessment processes, maintaining a response database, and supporting sales teams with documentation.

As a Machine Learning Engineer at Kalepa, you will lead the design, development, and deployment of machine learning models to evaluate business risks. Handling both structured and unstructured data, you'll generate insights and collaborate with product and software teams to drive project direction in a fast-paced environment.

The Machine Learning Engineer at Kalepa will develop and implement AI models to enhance the Copilot platform for underwriters. The role involves collaborating with cross-functional teams, utilizing data analysis, and applying machine learning techniques to solve complex problems in commercial insurance.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, and collaborate with global teams to deliver projects. You'll also research and evaluate new technologies and maintain high-quality deliverables.

The Manager of Data Science will harness data science and analytical insights to support brand strategies for the US Commercial team. Responsibilities include developing machine learning models, interfacing with stakeholders, enhancing brand and sales understanding, and driving execution strategies.

The Director of Analytics and Data Platform Delivery at Pfizer leads product management and engineering for data analytics technologies, ensuring alignment with business objectives and oversight of operational activities. Responsibilities include managing teams, maintaining external partnerships, driving innovation, and promoting a DevSecOps mentality for improved delivery and quality.

The Director, Analytics and Data Platform Delivery is responsible for product management, engineering, and delivery of key data and analytics technologies at Pfizer. This role involves overseeing high-performing teams, managing relationships with external partners, and aligning operational capabilities with the company's strategic objectives. The director must demonstrate expertise in analytics technologies and foster a culture of innovation and shared responsibility within the team.

As a Data Scientist, you will leverage your analytic and technical skills to innovate and maintain data solutions, tackle business problems, develop credit bureau data expertise, conduct deep analysis, present findings, and enhance production infrastructure.

As a Senior Machine Learning Engineering Manager, you will develop and implement cutting-edge machine learning algorithms, manage the training of models, and collaborate with various teams to integrate AI functionalities into Atlassian products. Responsibilities include designing architectures, conducting experiments, and mentoring junior ML engineers.

The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.

As a Machine Learning Engineer III, you will design, develop, and implement ML and optimization models for various applications, collaborate with multi-functional teams, deploy science models using cloud resources, and mentor the data science team in best practices for model development.