- Web Development and Implementation: Design, develop, and optimize our web analytics services learning models for computer vision applications and key customer stakeholders. - Data Management: Collaborate with ML engineers to ensure the successful deployment and implementation of computer vision and LLM models. - Algorithm Implementation: Implement state-of-the-art computer vision algorithms to improve system accuracy and performance in real-world scenarios. - Cross-Functional Collaboration: Work closely within the solutions engineering team to integrate machine learning models into the broader product and systems. - On-Site Travel and Field Testing: Many of our projects are live deployments with major fortune 500 customers – testing new, innovative ML technologies. Traveling on site is sometimes needed to work with customers, gather requirements, and ensure the technology is operating as expected. - Performance Evaluation: Regularly evaluate the performance of computer vision models, using both qualitative and quantitative methods, and iterate to enhance accuracy and efficiency. - Research and Innovation: Understanding of the latest developments in web, backend, and working with our ML team to understand the necessary components to implement machine learning and computer vision, applying innovative approaches and technologies to solve complex challenges. - Stakeholder Engagement: Collaborate with internal and external stakeholders to understand their needs and translate them into effective technical solutions. - Problem-Solving: Address and troubleshoot complex problems that arise during the development and deployment of computer vision systems.

Role Description We are looking for a DevOps Engineer to help us build functional systems that improve customer experience. DevOps Engineer responsibilities include: - Implement integrations requested by customers - Deploy updates and fixes - Provide Level 2 technical support - Build tools to reduce occurrences of errors and improve the customer experience - Develop software to integrate with internal back-end systems - Perform root cause analysis for production errors - Investigate and resolve technical issues - Develop scripts to automate visualization - Design procedures for system troubleshooting and maintenance Qualifications - Work experience as a DevOps Engineer or similar software engineering role - Good knowledge of Ruby or Python - Working knowledge of databases and SQL - Problem-solving attitude - Team spirit - BSc in Computer Science, Engineering or relevant field

• Design and implement infrastructure using Terraform, manage environments, and ensure security. • Develop and automate CI/CD pipelines for efficient deployment and environment promotion. • Establish and standardize observability practices, optimizing monitoring and alerting across platforms. • Integrate Data Quality processes with observability; document the framework and provide knowledge transfer to teams.

• Design and implement infrastructure using Terraform, manage environments, and ensure security. • Develop and automate CI/CD pipelines for efficient deployment and environment promotion. • Establish and standardize observability practices, optimizing monitoring and alerting across platforms. • Integrate Data Quality processes with observability; document the framework and provide knowledge transfer to teams.