Top Machine Learning Jobs in Mexico

The Vice President, Patent Attorney will manage BlackRock's patent strategy, counsel teams on IP issues, and protect its innovations while collaborating with engineers and external counsel.

The Associate will develop quantitative models, integrate AI methodologies, aid in portfolio construction, and conduct risk analysis within multi-asset portfolios.

Design and implement Industry 4.0 solutions to innovate and optimize company processes, ensuring compliance with SOX audits. Requires technical knowledge in automation, PLC programming, and emerging technologies.

The AI Engineer will implement AI projects to enhance efficiency and quality, collaborating across teams to develop and execute innovative AI solutions.

The Partner Success Operations Analyst ensures efficient merchant operations through process optimization, portfolio management, and communication with partners, while also providing insights for continuous improvement and risk management.

The AI Consultant will develop and execute Responsible AI policies, collaborate with stakeholders, and manage strategic AI initiatives to enhance Highmark's ethical AI practices.

Oversee and expand technical professional services and consulting, driving development and quality of services while building relationships with executive clients to support their digital transformation.

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

The HR AI Specialist designs and deploys AI and ML models to optimize HR workflows, ensuring compliance and integrating with IT systems.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, collaborate on machine learning models, and support analytics initiatives for various business teams.

Lead and optimize PayJoy's global fraud operations, managing a team to prevent fraud across consumer and SME products while driving strategic initiatives and operational improvements.

The Senior Software Engineer will develop scalable ML products, lead engineering teams, mentor peers, maintain existing systems, and improve code quality.

The role involves advanced data analysis, proficiency in SQL and Snowflake, data visualization, and applying AI tools to extract insights.

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

The Python Engineer will design and develop AI/ML-driven applications, optimize models, and collaborate with teams to deliver scalable solutions.

The Supply Chain Data Scientist analyzes complex datasets, develops predictive models, collaborates with teams, and communicates insights to improve business strategies.

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 Account Executive will develop and close business opportunities, achieve sales quotas, and collaborate with cross-functional teams within the enterprise market.

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

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.

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 Senior Data Analyst will interpret ML/AI model outputs, create executive reports, write SQL and Python scripts for data analysis, and develop dashboards to monitor business KPIs. They will also ensure data governance and communicate insights to senior executives.

Drive advanced manufacturing strategies and optimize processes while implementing technologies for operational excellence and innovation. Collaborate with teams to improve productivity and lead various engineering tasks, also focusing on automation and robotics.

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.

Internship position focused on building ML-powered products. Responsibilities include software data analysis, product development support, and gaining proficiency in machine learning and SQL.