Top Artificial Intelligence Jobs

The Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.

Lead operational strategy and AI enablement: evaluate and deploy AI/ML solutions, drive process optimization, analytics, governance, stakeholder engagement, KPI tracking, and change management to improve efficiency and ROI.

Lead operational strategy and AI product lifecycle to deploy ML and automation solutions, optimise processes using analytics and Lean/Six Sigma, ensure governance and regulatory compliance, drive stakeholder alignment, and measure ROI through KPIs and dashboards while managing change and adoption.

The AI Solutions Engineer at Cook Medical develops production-grade AI systems, collaborating widely, integrating with enterprise data, and ensuring ethical compliance.

The Associate Product Manager will develop AI products, shape roadmaps, collaborate with teams, conduct market research, and refine user experiences while ensuring product adoption and aligning with leadership.

Seeking a Product Manager to lead AI product development, prioritize features, conduct user research, and enhance user experiences in a fast-paced startup environment.

The AI Tech Lead provides technical leadership for AI solutions, overseeing end-to-end delivery from design to deployment while ensuring solution quality and compliance.

The Senior Data Analyst will analyze trading products, implement data-driven solutions for business growth, and develop data tools for efficiency. Responsibilities include independent project management and timely identification of business issues.

The AI Sales Specialist drives commercial success in selling Red Hat's AI portfolio across Greater China, focusing on enterprise adoption and strategic growth.

Lead the growth of an AI messaging solution for SMEs by acquiring new customers, refining the sales pitch, and improving product offerings based on feedback.

The AI Automations Engineer will create AI-powered workflows, manage processes, train team members, and track automation performance to improve ecommerce operations.

The Senior AI Engineer Lead will design and implement AI frameworks, oversee project delivery, integrate compliance, and drive innovation efforts across business units focusing on advanced AI technologies.

The role involves building AI search agents, creating RAG pipelines, optimizing vector search technologies, and automating evaluation processes.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

The VP of AI Strategy & Transformation will drive AI adoption across the organization by defining the AI roadmap, architecting production systems, and enabling AI capabilities for all business units.

The role involves developing AI architecture strategies, designing AI solutions, leading technical discussions, overseeing integration, and staying updated on emerging AI technologies.

The AI Application Engineer will develop, test, and deploy AI solutions for enhancing guest engagement, including chatbots and recommendation engines, while collaborating with the LHG AI team.

Lead the design and development of AI solutions at Langham Hospitality Group, focusing on enhancing guest engagement and workflow automation while mentoring internal teams.

The Manager, GSO will lead SEO and AI strategies for clients, oversee project execution, mentor the team, and enhance service offerings, focusing on measurable growth and client satisfaction.

The AI Platform Lead oversees the implementation of digital and AI technologies, ensuring project alignment with strategic objectives, enhancing customer experience, and optimizing internal workflows.

Lead and optimize the quality and performance of AI systems, focusing on preference learning, benchmarking, and model optimization for a scalable messaging platform.

Consultant will work on data science engagements, developing and deploying ML models, analyzing data, and presenting insights to stakeholders. Responsibilities include data acquisition, model deployment, and MLOps implementation.

The role involves driving AI innovation by developing proof-of-concept prototypes, collaborating with business stakeholders, and transitioning solutions to operational teams.

The AI Content Evaluator will review and annotate content based on guidelines, ensuring quality and consistency in data annotation for AI models.

The AI Engineer will develop and optimize AI solutions, integrate APIs, and work with teams to enhance business applications ensuring security and performance standards.