Senior AI Engineer

Architect, develop, and deploy high-performance, scalable AI applications into production environments, driving the development of intelligent agents and AI-powered features. Collaborate with research scientists and product managers to translate complex research into practical solutions, while championing responsible AI practices including bias detection, explainability, and safety alignment. Requires 5+ years of production ML/AI experience with proficiency in Python and frameworks like PyTorch, TensorFlow, or JAX.

This senior role focuses on developing and scaling the AI platform, enabling machine learning model development and deployment. The engineer will architect and maintain infrastructure to support AI workloads in defense applications.

This role involves designing and building scalable AI platform infrastructure to support machine learning workflows. Responsibilities include developing pipelines, optimizing model deployment, and ensuring reliability and performance of AI services.

This role designs and implements AI solutions for Dynata's data platform, bridging business needs and technical execution. The architect will work with data scientists and engineers to develop scalable AI services, ensuring alignment with enterprise architecture. Key responsibilities include solution design, technology evaluation, and guiding implementation teams.

This role involves advising clients on data governance strategies, including data quality, compliance, and data management frameworks. It requires strong consulting skills and expertise in data governance tools.

This role specializes in developing machine learning models for time series analysis and forecasting. It requires deep expertise in statistical and ML methods for time-dependent data.

This role involves leading the development and delivery of advanced data and AI training programs. It requires extensive experience in data science and education.