AI Engineer

Job Description

We’re looking for an experienced Senior AI Engineer to join our team as we continue to develop the first-of-its-kind quality and regulatory intelligence (QRI) platform for the life science industry.

The ideal candidate will have experience maintaining a high bar of quality while remaining hands-on in the code.

Core Responsibilities

• Fully understand technical architecture and various ML subsystems
• Lead in an Agile Scrum environment with a keen focus on delivering sustainable, high-performance, scalable, and easily maintainable enterprise solutions
• Help prioritize technical issues with engineering managers
• Proactively guide technical decisions on ML architecture
• Ensure successful system delivery to the production environment and assist the operations and support team in resolving production issues as necessary
• Develop, test, and maintain architectures for data stores, databases, processing systems, and microservices
• Integrate various subsystems or components to deliver end-to-end solutions
• Integrate ML services with multiple subsystems

About you

• Tech Savvy: Demonstrates expertise in a wide range of technologies and stays ahead of industry trends.
• Manages Complexity: Highly experienced in managing complex technical projects and systems.
• Plans and Aligns: Proficient in creating comprehensive project plans and ensuring alignment with strategic objectives.
• Collaborates: Proactively engages in team projects, contributing ideas and solutions.
• Manages Ambiguity: Operates effectively in ambiguous situations and adapts to changing demands.
• Engaged: Not only shares our values but also possesses the essential competencies needed to thrive at Redica, as outlined here: https://redica.com/about-us/careers