Top AI Engineer Jobs

Lead the design and integration of novel optical systems, collaborating on prototypes and managing testing to transition products to production.

The Computer Vision AI/ML Engineer will develop complex models using AI/ML techniques for object detection, and integrate data sources to support national security objectives.

Develop scalable software solutions integrating Generative AI technologies, mentor team members, and collaborate with product owners to enhance the product suite.

As an Applied AI Engineer, you'll develop AI solutions for government clients, enhance product models, and ensure high-performing, secure systems. Collaborate cross-functionally, analyze performance metrics, and communicate effectively with stakeholders to deliver impactful results.

Develop AI/ML platforms while ensuring compliance with data regulations, focusing on performance and scalability, collaborating with technical teams.

This co-op role involves technical design and development of data products, constructing data pipelines, user acceptance testing, and engaging in impactful project work.

Design and build investment management technology, integrating AI services, collaborating with engineering teams, and applying software engineering practices.

Join BlackRock's AI Engineering team to develop innovative AI solutions, build scalable APIs, and collaborate in an Agile environment.

Design and implement scalable infrastructure for ML workloads, manage ML model lifecycle, and collaborate with cross-functional teams to optimize ML applications.

The MLOps Engineer is responsible for designing, deploying, and managing machine learning models and infrastructure, collaborating with data scientists and engineers.

Design and implement scalable ML infrastructures, develop automated pipelines, optimize code, and manage the ML model lifecycle in a collaborative team environment.

The MLOps Engineer designs and deploys ML infrastructure, builds pipelines, ensures effective model lifecycle management, and collaborates within teams.

The MLOps Engineer will design and implement ML infrastructure, manage ML model lifecycles, and collaborate with teams to automate ML workflows.

Design and deploy scalable ML infrastructures, manage model lifecycles, and develop automated pipelines. Collaborate with teams to optimize ML solutions.

The MLOps Engineer will design and manage the lifecycle of ML models, deploy scalable infrastructure, and optimize code for production use.

The AI Customer Integration Engineer will integrate tracking software, lead technical discussions, gather requirements, and manage project execution for enterprise-level clients.

Lead the development of conversational AI solutions by mentoring a team, optimizing AI systems, and collaborating on new features to enhance customer experiences in the restaurant industry.