Top AI & Machine Learning Jobs

As a Senior Manager, you will design and engineer AI-native solutions, engage with clients to define workflows, prototype and deploy systems, and enhance enterprise adoption of AI technologies.

Lead the design and delivery of advanced Agentic AI solutions, architecting multi-agent systems, mentoring teams, and contributing to AI thought leadership.

Lead the development of an AI-powered platform and customer experience, optimizing processes, and collaborating with engineering and teams, while driving improvements in customer satisfaction and automation rates.

As a Technology Associate, you will collaborate on AI-driven healthcare solutions, rapidly prototyping applications, and translating complex challenges into proofs-of-concept.

The role involves overseeing AI strategy and sales technology, conducting research, and advising B2B executives. Responsibilities include creating presentations and collaborating on high-value research for sales leaders.

Lead the development of an AI-driven platform, enhancing customer experiences while automating inbound sales and service processes. Collaborate with engineers and external partners to improve AI models and implement industry standards.

The AI Innovation Analyst will identify and implement AI solutions to enhance internal operations, collaborating with multiple teams to drive automation and improve decision-making processes.

As a Data Scientist at Booz Allen, you will analyze data, develop algorithms, and work with clients to extract insights from complex data sets, driving impactful decision-making for various sectors.

As a Logistics Analytics Data Scientist, you will analyze data sets and develop models to solve complex logistics problems, guiding clients to make informed decisions.

Lead the design and development of biometric systems, mentor team members, and solve complex bioinformatics problems. Requires extensive experience in bioinformatics, data pipeline development, and technical expertise.

The role entails architecting and delivering production-grade data engineering pipelines, maintaining datasets for ML and Gen AI applications, and collaborating with various teams to ensure data-driven AI product delivery.

The role involves developing AI/ML solutions, collaborating on system architectures, conducting performance analyses, and creating simulation environments, while advocating for emerging standards.

As an AI Intern, you will develop features for ArangoDB's GenAI Suite, maintain Python repositories, evaluate innovations, and optionally present at talks and webinars.

The Staff Data Scientist leads data science projects, providing technical guidance and mentorship, identifying AI opportunities, and managing project initiatives with a focus on developing predictive models and analytics capabilities.