Top Machine Learning Jobs in Mexico

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

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

Lead data science initiatives for Growth and Go-to-Market: design experimentation and causal analyses, build forecasting and recommendation systems, advise stakeholders, set team strategy, and mentor data scientists.

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.

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

The role involves analyzing data and issues, contributing to business compliance, supporting project management, and collaborating with various departments to resolve complex issues.

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.

Design, build, and deploy machine learning models for data-driven products. Collaborate with teams, optimize pipelines, and maintain model performance.

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