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.

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 role involves leading AI solutions development, ensuring code quality, mentoring team members, and collaborating to integrate AI models into production systems.

Lead AI Engineer/Senior Data Scientist responsible for designing and delivering AI solutions, mentoring team members, reviewing code, and collaborating across teams to ensure effective AI implementations.

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.

As a Senior Machine Learning Operations Engineer, you will define and execute ML platform strategy, lead projects, mentor engineers, and collaborate with other teams to ensure successful delivery of ML systems and services.

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

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 role focuses on optimizing manufacturing operations via digital technologies, utilizing tools like automation, data analytics, and machine learning to enhance efficiency and reduce costs.

The IT Consultant will design finance processes, lead automation initiatives, and manage SAP FI/CO solutions while ensuring project readiness and ongoing support.

Looking for an Automation Anywhere Developer with strong technical skills in RPA, API integrations, and SQL. Ideal candidates are proactive, analytical, and familiar with emerging AI technologies.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

The intern will collaborate with Data Engineering and Data Science teams to build data pipelines, develop analytics solutions, and support AI/ML model development for engineering applications.

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.

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

The Key Account Manager oversees operations, manages strategic partnerships, optimizes sales, and leads a sales team, aiming for account growth and performance.

Design and develop software for self-driving vehicle applications, focusing on data generation, data pipelines, and model deployment for ML tasks.

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 the design, development, and delivery of AI solutions. Ensure code quality, guide team members, and drive impactful AI implementations in various business domains.

Lead the design, development, and delivery of AI solutions, mentoring junior team members and establishing coding standards for AI/ML practices.

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 Analytics Engineer at PayJoy will bridge the gap between data and product decisions, enhancing analytics maturity in product areas. Responsibilities include building data products, defining analytical strategies, and conducting complex analyses while collaborating with cross-functional teams.

The Product Manager for Consumer Applications will oversee the product lifecycle from ideation to launch, focusing on user behavior and continuous improvement for scalable applications.

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