Top Machine Learning Jobs in San Diego, CA

The Staff ML Operations Engineer will build machine learning and AI products, collaborating with data engineers and scientists. Responsibilities include designing ML systems, supporting AI Ops, customizing large language models, leading big data system designs, and translating business needs into AI solutions. They will mentor team members and ensure scalable software solutions for big data initiatives.

The Practice Director will drive the success of the Data Engineering and AI/ML practice, providing strategic and technical leadership while managing a team of data professionals. Responsibilities include leading client engagements, ensuring practice growth, mentoring team members, and overseeing project delivery with a focus on analytics and cloud adoption.

The Senior AI/ML Engineer will develop machine learning models and pipelines for a platform aiding DoD operators and analysts. Responsibilities include collaborating with data teams, managing machine learning lifecycle, and deploying models while focusing on computer vision applications.

As a Senior ML Ops Engineer, you will develop and maintain scalable ML pipelines, automate workflows, monitor and optimize models in production, collaborate with cross-functional teams, ensure compliance and security, and maintain documentation of ML processes.

The AI/ML Engineering Senior Manager will lead a team of data scientists and engineers to advance AI capabilities in products. Responsibilities include managing projects, guiding technical development, ensuring quality in data applications, collaborating with stakeholders, and fostering a culture of continuous learning and innovation.

The AI/ML Engineer will be responsible for training and deploying AI applications, collaborating with various teams to develop healthcare AI solutions, and maintaining existing data science products. They will write efficient code, integrate data sources, and handle the end-to-end delivery of projects.

As a Principal AI/ML Engineer at Nike, you will influence and develop machine learning solutions, leading projects end-to-end and guiding your team. Responsibilities include designing scalable applications, contributing to AI/ML platforms, and collaborating with global teams to deliver data-driven decisions that impact the business.