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The DevOps Engineer will design and manage CI/CD pipelines, automate infrastructure, monitor systems, and ensure compliance while collaborating with development teams.

As a Senior Data Engineer, you will design and maintain scalable data systems, developing robust data pipelines and ensuring data quality while collaborating with cross-functional teams.

The Engagement Lead will manage client engagements end-to-end, leading product implementations and co-developing new capabilities while liaising between client's operations and SuperHive's teams.

Design, develop, and enhance user interfaces for AI-powered applications; collaborate with backend engineers and designers. Ensure optimal performance and maintain code quality.

The role involves defining product vision, writing PRDs, managing the product roadmap, collaborating with engineering, and conducting user research.

The Senior Solution Architect will design scalable SaaS solutions focusing on microservices architecture, cloud-agnostic capabilities, and assist in technical strategy alignment with product goals.

Develop, deploy, and optimize machine learning models and systems, collaborating on AI solutions and managing data pipelines for quality input.

Lead the validation and verification of AI systems, architect testing frameworks, ensure integration and system verification, and manage defect lifecycle in AI applications.

Lead and mentor engineering teams in developing AI solutions, define best practices, manage project resources, and contribute to AI strategy.

Design and develop backend systems for AI applications, ensuring performance and scalability while collaborating with cross-functional teams.