Top Machine Learning Jobs in Mexico

Lead product management for data security, defining roadmaps, driving development, and ensuring delivery of innovative capabilities in Cloudflare's SASE platform.

The role involves managing customer service requests, analyzing product security, building relationships, and supporting software implementation to optimize customer network performance.

The Engagement Manager II leads AI deployment for OfferFit at Braze, overseeing program execution, client management, process improvement, and product strategy.

The Data Annotator will analyze live videos for risk identification and support AI/ML model training by generating accurate training datasets. Requires good communication, attention to detail, and ability to collaborate in a 24/7 environment.

Enhance fair lending analytics, perform statistical reviews on data sets, collaborate with partners, and communicate results effectively. Incorporate Fair Lending guidance updates.

Lead Scribd's product strategy for a new Discovery product organization, focusing on search and recommendations through advanced ML systems and user-centered design. Mentor PM teams, oversee the development of AI-driven features, and align product vision with business goals.

The Senior Data Scientist II will develop LLM-based applications for legal use-cases, design data pipelines, evaluate model performance, and collaborate with experts to build data-driven solutions.

The Robotics Site Lead manages daily operations of a robotics data collection facility, oversees a team, and ensures data quality and operational efficiency.

The HR Data Analyst supports data-informed decision-making in HR by providing insights and developing analytics using tools like Workday and Power BI. Responsibilities include data analysis, reporting, and improving data workflows while ensuring data integrity and quality across systems.

The Data Engineer will develop and automate analytical models for commodity analytics, collaborate with teams, manage datasets, and implement advanced solutions to enhance data quality and governance.

The AI and Experience Orchestration Director drives sales growth through Genesys AI solutions, leading customer conversations, developing business cases, and promoting AI adoption in enterprise accounts while collaborating across teams to enhance AI pipeline and conversion rates.

The Senior Tools & Metrics Manager will develop and maintain the tooling ecosystem for Operations, ensure effective data management, and collaborate with technical teams to enhance reporting and workflows.

The Data Scientist Intern will analyze data, develop algorithms, work with business leaders, and apply machine learning techniques to derive insights.

The Principal, Information Governance Advisor will drive business growth, manage high-impact engagements, and mentor junior consultants, focusing on information governance solutions.

The Senior AI Consultant will collaborate with leaders to identify automation opportunities, design proof of concepts, implement AI solutions, and ensure value creation through effective change management.

The IA Engineer will design, develop and implement AI systems and algorithms. Responsibilities include using programming and Machine Learning to create intelligent solutions for tasks like pattern recognition and language processing.

The Data Analytics Business Partner will bridge advanced analytics with business leadership, developing predictive models and data solutions to enhance customer engagement and optimize performance across LATAM markets.

This role involves overseeing program management, risk mitigation, process improvements, and collaboration across teams to ensure project effectiveness.

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

The Business Insights Manager leads analytics teams, delivering insights by improving processes and operational metrics while collaborating across departments. Requires expertise in data analytics and leadership in a fast-paced environment.

The Account Executive will drive new business acquisition, develop sales strategies, achieve quotas, and partner with cross-functional teams to grow client relationships.

The Director Executive Credit will lead the credit lifecycle for SME lending, focusing on profitability, risk modeling, and operational efficiency while fostering team development and regulatory compliance.

The Technical Manager, PX Platform will oversee the development and operation of systems for Player Experience, manage tools integration, and enhance service improvements through automation and data management.

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

The Senior Product Manager will lead fraud prevention strategies, collaborate with cross-functional teams, and enhance user experience while minimizing fraud losses.