Top Machine Learning Jobs in Tijuana

Manage a team of cloud engineers and architects, oversee data delivery engagements, handle technical responsibilities, and interface with clients for technical improvements.

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

As a Senior Software Engineer, you'll design and maintain API solutions, collaborate with cross-functional teams, and ensure software quality through testing and documentation.

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

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 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.

Lead technical client engagements in machine learning and AI, shape strategy, influence architecture, and ensure high-quality outcomes for clients by leveraging AWS services.

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 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.

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.

As an ML Engineer, you'll productionize models, enforce engineering standards, collaborate with Data Scientists and Engineers, and mentor junior members.

Seeking a Machine Learning Architect to lead AWS solutions by designing ML systems, mentoring peers, and managing project deliverables. Responsibilities include backlog management, troubleshooting, automating tests, and ensuring client satisfaction.

The ML/AI Associate Director will lead the Foreseer AI team, overseeing platform development and technical design, while fostering an agile culture. Responsibilities include collaboration with stakeholders, compliance, and documentation.

Lead the design, development, and maintenance of AI/ML solutions while ensuring adherence to agile best practices, collaborating with stakeholders, and implementing security measures.

Develop and implement machine learning models to optimize financial processes, enhance existing models, and collaborate on integrating solutions into company systems.

Lead design, development, and deployment of production ML models. Work with large datasets to build predictive pipelines, collaborate with data engineers on cloud architectures, automate MLOps/CI-CD, mentor junior staff, and communicate insights to stakeholders to inform business decisions.