Top Artificial Intelligence Jobs

The Senior Data Scientist, Generative AI will develop and deploy ML models, improve data quality frameworks, and collaborate across teams to enhance AI-driven products for music and TV.

The Senior AI Engineer will develop cloud-based AI products, architect systems for LLMs, and provide technical guidance, while ensuring high standards and performance.

The role involves defining business needs, translating them into software requirements, leading discovery sessions, and collaborating with stakeholders and development teams, with a focus on AI-driven prototyping and pre-sales activities.

As a C++ Machine Learning Engineer, you will optimize ML training frameworks, debug model performance, and collaborate with various teams to enhance model implementation.

Lead product marketing for Temporal’s AI initiatives, defining positioning and messaging, developing value propositions, and driving adoption across AI segments.

Lead the architecture and deployment of LLM-powered conversational chatbot systems, optimizing performance and ensuring scalability in a crypto environment.

Lead the delivery of AI-enabled engineering solutions, ensuring quality and performance while leading teams and establishing standards for Netsmart's healthcare technology platform.

The AI Engineer will design and build production-grade AI systems, translate enterprise challenges into solutions, and collaborate with customers to enhance AI capabilities while managing the technical direction of the AI stack.

As an intern, support AI modeling and predictive analytics for vehicle testing operations. Responsibilities include developing machine learning methods, analyzing data, and supporting engineering collaboration through insights.

The Principal AI/ML Engineer will lead the design, implementation, and deployment of AI systems, mentor junior engineers, and ensure model performance and reliability in production environments.

Build and maintain high-quality user interfaces for complex AI products, optimizing performance and collaborating with cross-functional teams.

The role involves designing, building, and maintaining scalable full stack applications using Node.js, React, and TypeScript, collaborating with teams to deliver high-performance AI-driven features.

The Engineering Manager will lead teams in developing and managing Blackbaud's Data & AI platform, focusing on scalability, security, and cost-efficiency.

As a Technical Product Manager at Arize, you will strategize and develop the product roadmap, engage customers for feedback, collaborate with cross-functional teams, and integrate market insights into product requirements.

As an AI Product Engineer, you will design and implement AI-driven user interfaces, collaborate with teams to address client needs, and evolve AI UX patterns.

The AI and Analytics Manager will lead a team to develop AI solutions and analytics strategies, ensuring performance and alignment with business needs while managing high-impact projects.

The Applied AI Engineer I will implement AI models, build workflows, integrate AI tools into research, and collaborate with ML scientists in a clinical setting.

As an AI Specialist SC, you will support major global clients by offering presales machine learning solutions, driving business transformations and technical discussions, while collaborating across teams.

The CoE Technical Expert leads AI and Object Storage PoCs, manages the Hitachi iQ platform, integrates AI workloads with cloud storage, and presents at industry events.

Lead advanced analytical and AI-driven solutions across operational, financial, and clinical domains. Translate business objectives into scalable models, own end-to-end development, communicate findings to leadership, and ensure rigor, explainability, and operational scalability of predictive, ML, forecasting, and optimization solutions.

The Senior Software Engineer will enhance AI system reliability, performance, and scalability, focusing on distributed services and collaborating with ML researchers.

The Business Systems Analyst will bridge stakeholders, data teams, and Salesforce developers to gather and document business requirements, enhance customer systems, and support implementation of solutions.

The Principal UX Design Strategist will define AI user experience, create standards and guidelines, and lead cross-functional collaboration in product design.

The Product Manager will lead the AI platform roadmap, focusing on managed inference services and optimizing GPU utilization while collaborating with various teams to address customer needs and competitive offerings.

Conduct quantitative analytics and modeling projects, develop AI-driven tools, and integrate AI into existing workflows within banking and market sectors.