Top AI Engineer Jobs

Lead and advise teams to design and deliver production-grade AI solutions. Oversee large projects, develop predictive models and data visualizations, align stakeholders to industry standards, and foster continuous improvement, coaching, and operational excellence.

Design and implement AI/ML systems, analyze complex problems, mentor junior staff, build client relationships, integrate AI into applications, manage data pipelines and model lifecycle, and uphold professional standards.

Lead and advise teams to design and deliver production-grade AI solutions, drive operational excellence with advanced ML and analytics, align stakeholders to industry standards, coach and develop staff, and build context-aware GenAI chat experiences.

Lead and manage teams building production-grade AI and data solutions. Oversee project planning, delivery, quality, and client relationships. Mentor staff, drive continuous improvement, analyze complex datasets, and ensure adherence to firm standards and best practices.

Lead and manage teams to design and deliver AI and data engineering solutions. Oversee project planning, budgeting, execution, and quality; manage client accounts and relationships; analyze complex data for insights; mentor and develop team members; drive continuous improvement and enforce production-grade quality standards and firm policies.

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 improving technical knowledge and delivering data-driven insights.

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

Lead and manage teams building production-grade AI/ML and data solutions: oversee project planning, budgeting, delivery quality, client relationships, mentoring, and continuous improvement. Drive analytics, predictive modeling, statistical analysis, and data visualization to produce actionable insights for clients.

Design, implement, and deploy AI/ML solutions within Oracle data environments; analyze complex problems, mentor junior staff, build client relationships, and integrate AI into applications. Contribute to model fine-tuning, data pipelines, CI/CD and model monitoring while upholding professional and ethical standards.

Design, implement, and deploy AI/ML solutions using Oracle and modern ML tooling; analyze complex problems, mentor junior staff, build client relationships, manage data pipelines and model lifecycle, and uphold professional and ethical standards.

Lead and manage teams that design and deliver AI and data engineering solutions for clients: supervise projects, coach staff, ensure quality and production-grade monitoring, manage client accounts, analyze complex datasets, and drive continuous improvement.

Lead and deliver enterprise AI solutions, advise on large projects, manage and develop high-performing teams, apply systems thinking to solve complex data problems, validate outcomes with clients, and implement production-grade GenAI experiences using SSE/JSON-RPC/WebSocket.

Design and implement advanced AI/ML solutions, analyze complex problems, mentor junior staff, build client relationships, collaborate cross-functionally, and maintain professional and ethical standards while leveraging data and Oracle analytics tools.

Senior Associate in DCM AI Labs designs and implements AI/ML solutions, analyzes complex problems, mentors junior staff, builds client relationships, and collaborates cross-functionally to deliver cloud-native, production-ready AI systems while upholding professional and ethical standards.

Design and implement AI/ML solutions, analyze complex problems, mentor junior team members, build client relationships, integrate AI into applications, collaborate cross-functionally, and maintain professional and ethical standards.

Design and implement AI/ML solutions, analyze complex problems, mentor junior team members, build client relationships, collaborate cross-functionally, and maintain professional and ethical standards while delivering AI-enabled business application and Oracle data analytics solutions.

Lead and coach data and ML engineering teams to design, build, and deliver AI solutions for clients. Manage client accounts, ensure quality and production-grade monitoring, analyze complex datasets, drive continuous improvement, and uphold firm standards while fostering innovation and collaboration.

Lead development and delivery of AI solutions, manage client accounts, supervise and mentor engineering teams, analyze complex datasets to generate insights, ensure quality and production-grade monitoring, drive continuous improvement, and uphold firm standards and best practices.

Lead development of AI solutions and serve as strategic advisor on large projects. Manage and coach teams, apply systems thinking, analyze complex data, ensure production-grade quality, and build context-aware GenAI chat experiences using SSE, JSON-RPC, and WebSocket while aligning stakeholders to industry standards.

Lead development of enterprise AI solutions, advise on large-scale projects, coach and manage high-performing teams, apply advanced analytics and ML to drive operational improvements, and ensure alignment with industry and firm standards.

Lead development of AI solutions and supervise ML/data engineering teams for client engagements. Manage client accounts, mentor staff, ensure deliverable quality, analyze complex datasets for actionable insights, and drive continuous improvement and production-grade monitoring.

Design and implement AI/ML solutions using Oracle and modern ML tooling; analyze complex problems, mentor junior staff, integrate AI into applications, manage data pipelines, and maintain professional standards while building client relationships.

Develop and implement advanced AI/ML solutions, analyze complex problems, mentor junior staff, build client relationships, manage data pipelines and model deployment, and uphold professional standards.

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 and analytics to derive actionable insights.

Design and implement AI/ML solutions using Oracle and cloud-native tools; analyze complex problems; mentor junior staff; build client relationships; manage data pipelines, model fine-tuning, deployment, monitoring, and collaborate across teams to deliver ethical, high-quality AI products.