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The Senior Data Modeler will design scalable data models using Data Vault 2.0 methodologies, collaborate with clients, and mentor peers in data strategy initiatives.

Seeking a Full-Stack Software Engineer to build the core of an Agentic AI Platform. Responsibilities include frontend and backend development, product design collaboration, and infrastructure management with a focus on clean, maintainable code.

The Lead Software Engineer will design, develop, and maintain software systems for ML use cases, apply engineering best practices, and collaborate with ML engineers and data scientists.

Join the AI Engineering team to design, build, deploy, and scale production AI systems. Translate business problems into AI solutions, industrialize ML models, design AI pipelines and platforms, ensure performance and monitoring, and drive MLOps best practices across architecture and governance.

As a Junior Machine Learning Engineer Intern, you will work on applied research projects using advanced machine learning techniques and help deploy solutions for customers, while contributing to a collaborative team environment.

Design, build, and maintain cloud-native platforms, data pipelines, warehouses/lakehouses, and platform components. Ensure security, reliability, scalability, and collaborate across teams to define architecture and standards supporting AI and analytics.

Manage and deliver AI/ML projects, ensuring strategic alignment and adoption across functions. Oversee project phases and facilitate change management for AI-driven innovations.

As an AI Machine Learning Engineer, you'll develop and deploy AI solutions, implement MLOps workflows, and partner with stakeholders to translate business challenges into technical requirements.

The Expert AI Director will lead AI programs, manage relationships with stakeholders, ensure project alignment with business goals, and mentor teams.

The Associate Partner will advise C-level executives on AI and Data strategies, lead digital transformations, and develop client relationships in Life Sciences, while driving innovation and overseeing project delivery.