Top Machine Learning Jobs in Mexico

The Senior Product Manager will lead fraud prevention and detection strategies, collaborate with engineering and data science teams, and leverage data analytics to enhance user experience and reduce fraud losses.

The Director will manage program execution, improve processes, identify risks, collaborate with leadership, and ensure quality and budget compliance across teams.

The role involves developing data pipelines in SQL, creating dashboards in Tableau/Looker, and implementing AI technologies within an Agile framework.

The Risk Manager analyzes risk portfolios using data, offers actionable recommendations, collaborates with Data Science on ML and AI models, and monitors KPIs.

The Technical Account Advisor provides technical support and advisory services, tailoring solutions to customer needs and ensuring successful implementation and ongoing use of Blue Yonder's solutions.

The Senior Data Scientist will develop AI algorithms, optimize building operations, generate insights, and collaborate with teams to implement solutions.

The Principal, Strategic Accounts & Insights is responsible for managing high-value client relationships, driving commercial growth, and aligning business strategies with technical delivery, requiring both strategic ownership and data expertise.

The Senior Manager Business Development leads strategic retail partnerships, manages a junior BD team, drives cross-functional project management, maintains financial models, negotiates terms, and oversees partner relationships post-launch.

As Director of AI/ML, lead AI teams, manage AI projects, ensure scalable solutions, and coordinate across multiple departments to deliver impactful AI solutions.

Lead cloud architecture design and propagate architecture standards. Design, migrate and maintain cloud/serverless solutions on Azure, ensure nonfunctional requirements, support project and application managers, and communicate architecture to development teams.

The Lead Data Scientist will design and deploy Machine Learning models, collaborate on ML integration, contribute to MLOps practices, and provide mentorship to junior members.

The Growth Manager drives growth and adoption of credit products, coordinating between global teams and local operations, managing partnerships, and executing GTM strategies.

Use SQL and R/Python to analyze credit portfolio data, create dashboards, recommend policies to optimize risk and profitability, and collaborate with Data Science on ML/AI models.

The Senior Product Manager will own and drive the development of Kraken's Algorithmic Execution & Strategy Engine, focusing on execution algorithms, API specifications, and client engagement to optimize trading strategies.

The Senior Site Reliability Engineer will ensure reliability and scalability of services, implement AI-driven practices, and improve monitoring systems across platforms.

Perform part-time remote data tasks to improve Spanish (Mexico) AI outputs: collect, evaluate, annotate, and tag content across audio, video, images, and other data; perform pairwise comparisons and counting tasks. Flexible schedule, immediate start.

The Sr Embedded Eng Supervisor will oversee software development, manage team performance, implement DevSecOps, and drive AI/ML adoption while ensuring quality in embedded solutions.

The Senior Manager, Sales Engineer provides technical expertise in sales for advanced fraud prevention and risk solutions, ensuring successful integration and client interactions.

Lead high-impact customer pipelines for Scale's Generative AI unit: design data taxonomies, build pipeline infrastructure, manage global teams, create analytics, partner with Engineering/Product/Ops/Go-to-Market, and report to executives to drive multi-million dollar revenue growth.

Own and drive the identity product strategy and roadmap for onboarding, verification, authentication, and account recovery. Collaborate with engineering, design, fraud, and compliance to build secure, scalable identity systems, design data schemas, define KPIs, and explore AI/ML solutions to improve verification and user experience.

The Senior ML Engineer will design, develop, and deploy ML-powered products, mentor teams, and manage production pipelines, focusing on NLP and model validation.

The AI/ML Director will lead the development of AI solutions, overseeing technical design, architecture, and project implementation while fostering an agile and quality-first environment.

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 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.

The Software Engineer will design and build scalable ML infrastructure services, improve ML development velocity, and collaborate closely with teams to enhance productivity.