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The Implementation Operations Analyst at BuildOps is responsible for optimizing and supporting the deployment processes for Implementation Managers, ensuring efficiency in project management, system management, and cross-department collaboration. They will analyze KPIs and manage internal operations for streamlined customer rollouts.
As a QA Engineer, you will develop and execute automated tests using Cypress, ensure product quality through both manual and automated testing, collaborate with engineering teams in an Agile environment, and continuously improve testing processes. Your role will focus on providing high-quality software that meets customer needs.
As the Manager of Sales Development at BuildOps, you'll lead and inspire a team of Sales Development Representatives, building strategies and measuring performance to drive the success of the sales development organization. You'll implement processes, track metrics, and proactively improve team efficiencies in a dynamic tech environment.
As a Frontend Engineer at BuildOps, you will help build and maintain the frontend platform using React, write quality code with high test coverage, and develop APIs. You will collaborate with QA teams, mentor junior engineers, and guide technology decisions, enhancing product quality through code reviews and testing.
The Senior AI Engineer will design, develop, and deploy machine learning models, enhance AI features, collaborate with teams, mentor others, and ensure high-quality software delivery in a fast-paced tech startup environment.
The Backend Engineer will enhance and maintain BuildOps' backend platform, focusing on building real-time systems and improving APIs. Responsibilities include writing high-quality code, collaborating with QA for quality assurance, providing technical mentorship, and guiding technology decisions within the team.
The Senior AI Engineer at BuildOps will design, develop, and deploy machine learning models while enhancing AI features in a software platform. Responsibilities include data analysis, collaboration with teams, and providing technical mentorship. The role demands strong expertise in AI, machine learning, and software development, particularly in Python and Javascript.
The Fullstack AI Engineer will develop and implement AI solutions, integrate AI/ML capabilities into the platform, write scalable code, collaborate with QA, and provide technical guidance. The position involves prototyping, maintaining AI features, and promoting best practices in documentation and testing.
The DevOps Engineer will manage and optimize the company's cloud-based infrastructure, develop CI/CD pipelines, set up monitoring systems, and provide support across teams to ensure smooth software delivery and performance optimization.
As a Fullstack AI Engineer, you will design, develop, and deploy AI solutions and machine learning models. Your role includes integrating AI features, maintaining scalable code, supporting AI integrations, collaborating with teams, and providing technical mentorship. You will contribute to the long-term technical vision while shaping technology decisions in a fast-paced startup environment.
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