Top AI Engineer Jobs

Lead and advise teams to design, build, and deploy AI and ML solutions. Guide large projects, coach staff, collaborate with stakeholders, analyze complex data, ensure production-grade standards, and drive continuous improvement and operational excellence.

Lead and manage AI and data engineering teams to develop production-ready machine learning solutions. Oversee project planning, budgeting, quality gates, client relationships, mentoring, and delivery of actionable analytics and predictive models.

Lead teams to design and deliver production-grade AI and ML solutions for clients. Manage client accounts, mentor engineers, ensure quality and standards, analyze complex datasets, and drive continuous improvement and innovation in project delivery.

Lead development of AI solutions and advise on large-scale projects. Motivate and coach teams, align stakeholders, apply advanced analytics and systems thinking, and deliver production-grade, impactful AI products.

Design and implement advanced AI/ML solutions, analyze complex problems, mentor junior staff, build client relationships, integrate AI into applications, manage data pipelines, and maintain professional and ethical standards.

Design, implement, and deploy advanced AI/ML solutions in a client-facing consulting environment; analyze complex problems, mentor junior staff, build client relationships, and integrate AI into software and data pipelines while upholding professional standards.

Lead and manage AI/ML engineering teams to design, develop, and deliver production-grade AI solutions. Oversee client accounts, mentor staff, ensure quality and monitoring, analyze complex data, and drive continuous improvement and innovation.

Lead and advise teams to design and deliver production-grade AI solutions. Oversee large projects, develop ML-driven models and visualizations, align stakeholders to standards, coach teams, and drive continuous improvement and operational excellence while solving complex data problems.

Design, implement, and deploy advanced AI/ML solutions within Oracle data and analytics; analyze complex problems, mentor junior staff, build client relationships, and support cloud-native ML operations including CI/CD, monitoring, and data pipelines.

Design, implement, and deploy advanced AI/ML solutions using Oracle and modern ML tooling. Analyze complex problems, mentor junior staff, build client relationships, manage data pipelines and model lifecycle (CI/CD and monitoring), and contribute to cross-functional delivery while upholding professional and ethical standards.

Lead and manage teams building AI/ML and data engineering solutions for clients: plan and deliver projects, mentor staff, ensure quality standards, analyze complex datasets, foster client relationships, and drive continuous improvement and innovation.

Lead and manage teams to design, develop, and deliver AI and data solutions. Oversee project planning, budgets, quality, client relationships, mentorship, and production-grade monitoring to drive data-driven insights and continuous improvement.

Lead and coach AI/ML and data engineering teams to design, build, and deliver production-grade analytics and AI solutions for clients. Manage client accounts, ensure quality standards, analyze complex datasets, and drive continuous improvement.

Design and implement AI/ML solutions within Oracle data and analytics, analyze complex problems, build and integrate models into applications, mentor junior staff, manage client relationships, and work with cloud-native, containerized, and model monitoring pipelines.

Lead development of innovative AI solutions and serve as a strategic advisor on large-scale projects. Motivate and coach high-performing teams, align stakeholders with industry standards, and apply advanced analytics, ML, and systems thinking to extract insights and drive operational excellence.

Lead and manage teams building production-grade AI and data solutions. Oversee project planning, budgeting, delivery quality, client relationships, mentoring, and continuous improvement while applying machine learning, analytics, and data visualization to produce actionable insights.

Lead and advise teams building production-grade AI solutions. Design and deliver GenAI/chat experiences, analyze complex data, align stakeholders to standards, coach teams, and drive operational excellence on large-scale projects.

Design and implement advanced AI/ML solutions, integrate models into applications and Oracle data tools, analyze complex problems, mentor junior staff, build client relationships, manage data pipelines and ML-Ops practices, and uphold professional and ethical standards.

Lead delivery of AI solutions and advise on large-scale projects. Manage and coach high-performing teams, design production-grade GenAI/chat systems, analyze complex data, align stakeholders, and drive continuous improvement and operational excellence.

Lead and manage teams building production-grade AI and data solutions. Oversee project planning, budgeting, delivery quality, client relationships, mentoring, and continuous improvement while applying data science and ML techniques to analyze complex datasets and produce actionable insights.

Lead development of AI solutions and guide large projects as a strategic advisor. Motivate and coach teams, collaborate with stakeholders, apply systems thinking, analyze complex data, and ensure production-grade quality and alignment with industry standards while driving operational excellence and continuous improvement.

Lead and coach teams to design, develop, and deliver production-grade AI and data solutions for clients. Manage client accounts, ensure quality and adherence to standards, analyze complex datasets, drive continuous improvement, and foster client relationships and technical innovation.

Design and implement AI/ML solutions, analyze complex problems, mentor junior staff, build client relationships, collaborate cross-functionally, and maintain professional and ethical standards while advancing AI capabilities and team knowledge.

Lead development of AI solutions and guide large projects as a strategic advisor. Motivate and coach teams, work with stakeholders to align on industry standards, analyze complex data for innovation, and drive production-grade, operational AI outcomes.

Lead development and delivery of AI/data solutions, manage client accounts and teams, mentor engineers, ensure quality and production-grade monitoring, analyze complex datasets for insights, and drive continuous improvement and client relationships.