Top AI Engineer Jobs

Lead development and implementation of AI/ML solutions, design and optimize models and algorithms, transform data into insights, own project delivery (planning, budgeting, execution), supervise and mentor teams, manage client engagements, and uphold professional and technical standards.

Lead design and delivery of AI and ML solutions, transform data into insights, optimize models and algorithms, manage projects and budgets, mentor teams, maintain quality and client relationships, and drive innovation across data and analytics engineering.

Lead development and implementation of AI/ML solutions, design and optimize models and algorithms, transform data into insights, manage projects and budgets, supervise and mentor teams, collaborate with stakeholders to ensure delivery quality and client satisfaction, and uphold professional and technical standards.

Lead design and delivery of AI/ML solutions, transform data into insights, manage projects and budgets, mentor teams, maintain quality and client relationships, and drive innovation across data and analytics engineering.

Lead design and delivery of AI/ML solutions and data engineering workstreams. Transform data into insights, optimize models and algorithms, manage projects and budgets, supervise and mentor teams, maintain technical and professional standards, and manage client relationships to ensure successful outcomes.

Lead design and implementation of AI/ML solutions, transform data into insights, manage projects and budgets, coach teams, maintain quality and client relationships, and drive technology adoption.

Lead design and delivery of AI/ML solutions and data engineering to turn raw data into actionable insights. Manage projects end-to-end, mentor teams, engage clients, ensure quality, and uphold firm standards and governance.

Lead development and implementation of AI/ML solutions, design and optimize models and algorithms, transform raw data into actionable insights, manage projects (planning, budgeting, execution), supervise and mentor teams, engage clients, uphold quality and professional standards, and drive innovation within the data and analytics engineering practice.

Lead and manage teams building production-grade AI and data solutions for clients. Oversee project planning, budgeting, execution, quality standards, client relationships, mentoring, and continuous improvement while applying advanced analytics and machine learning to derive actionable insights.

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

Lead development and delivery of AI solutions, supervise and coach teams, manage client accounts, analyze complex datasets for insights, ensure quality standards, mentor staff, resolve conflicts, and drive continuous improvement and innovation.

Lead and coach teams to design, build, and deliver production-grade AI and data solutions for clients. Manage client accounts, ensure quality standards, analyze complex datasets, drive continuous improvement, mentor staff, and oversee project planning, budgeting, and execution while fostering innovation and strong client relationships.

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.

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.

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 manage teams designing and delivering AI and data engineering solutions. Oversee project planning, budgeting, execution and client accounts; analyze complex datasets and develop ML-driven insights; mentor staff, enforce production-grade quality standards, and drive continuous improvement and innovation.

Lead development of AI/ML solutions and supervise data engineering teams. Manage client accounts, analyze complex datasets, ensure quality and production-grade monitoring, mentor staff, drive continuous improvement, and cultivate strong client relationships.

Lead and manage teams building production-grade AI and data solutions: plan and deliver projects, mentor staff, manage client accounts, ensure quality and standards, analyze complex datasets, and drive continuous improvement and innovation.

Lead development and delivery of AI solutions while managing client accounts and coaching teams. Oversee project planning, budgeting, execution, and quality standards. Analyze complex datasets, develop predictive models and visualizations, mentor staff, and cultivate client relationships to drive continuous improvement.

Lead and manage teams to design, develop, and deliver AI and data/ML solutions for clients. Oversee project planning, budgeting, quality, and client relationships while mentoring staff, enforcing standards, and driving continuous improvement and production-grade monitoring.

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.

Lead and manage teams delivering production-grade AI and data engineering solutions for clients. Oversee project planning, budgeting, quality, mentoring, client relationships, and continuous improvement while applying machine learning, analytics, and monitoring best practices.

Lead and manage teams to design, develop, and deliver AI and data engineering solutions for clients. Oversee project planning, budgeting, quality, client relationships, mentorship, and continuous improvement while ensuring production-grade monitoring and standards adherence.