As a Senior Data Engineer, you will design and maintain scalable data pipelines for AI, optimizing data architectures and overseeing infrastructure deployments.

The Data Engineering Manager will design and implement data architectures for marketing analytics, optimize data pipelines, and ensure quality data for analytics and reporting.

The Lead Data Scientist will design and analyze A/B experiments, develop robust MMM solutions, and drive data-informed decisions while collaborating with product teams.

Lead the design and implementation of decision strategies using Pega CDH, manage projects, mentor teams, and ensure high-quality solutions.

The Senior Backend Engineer will design, develop, and maintain backend services using Python and FastAPI, optimize data architecture, and integrate AI functionalities.

Lead Data Scientist specializing in Generative AI to develop AI solutions, oversee ML pipelines, implement MLOps, and mentor junior team members.

The Data Engineer will design and optimize data pipelines and workflows to support a Media Mix Optimization platform, ensuring data integrity and governance while collaborating with Data Science and BI teams.

The Lead Fullstack Engineer will develop robust web applications, mentor a team, and collaborate with cross-functional teams to implement scalable solutions.

The Senior Scrum Master drives Agile teams to deliver AI solutions, facilitating Scrum ceremonies, enabling team delivery, mentoring, and cultivating a culture of improvement.

Lead end-to-end product design for an internal AI-driven B2B application. Focus on UI/UX for trade data and reconciliation, using design thinking and client collaboration to enhance user experience.

Lead the development of an enterprise-scale AI ecosystem, overseeing product strategy, managing teams, ensuring compliance, and driving product lifecycle.

The Account Operations Manager will coordinate daily client project operations, manage resources, support account leadership, and facilitate communication across teams to improve efficiency.

We seek a Lead Software Engineer to optimize Machine Learning systems for biotechnology. Responsibilities include profiling workloads, applying vectorization techniques, and refactoring code for efficiency in high-performance environments. Strong experience in Python and ML is required.

As a Senior Backend Engineer, you'll build scalable solutions using Python, design cloud architectures with AWS and Terraform, and collaborate across teams. You'll manage projects ensuring timely execution while adhering to object-oriented principles.

The AI Engineer will design, develop, and deploy AI/ML models using Azure technologies, collaborate with teams, and optimize model performance.

The AI Architect will design and implement AI/ML solutions on Azure, lead MLOps initiatives, and collaborate with teams for seamless AI integration.

The Senior AI Engineer will design, develop, and deploy scalable AI/ML solutions using Azure technologies, collaborating with stakeholders to drive innovation and ensure model performance.

The AI Engineer will design and deploy scalable AI solutions, utilize AI frameworks, and implement MLOps best practices, collaborating across teams.

Design, develop, and deploy AI/ML models using Azure technologies to solve business challenges and drive innovation. Collaborate with teams to integrate AI applications and implement best practices for model deployment and monitoring.

Blend seeks Data Science Professionals for various roles including MLOps, Analytics, and Generative AI, focusing on model design and deployment. Experience from junior to expert levels welcome.