The BVT Analyst plays a critical role in ensuring the quality and reliability of software products through the execution and analysis of Build Verification Tests (BVT).
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Responsibilities
Develop, execute, and maintain Build Verification Test cases to validate new software builds.
Analyze test results to identify defects, inconsistencies, and areas for improvement in the build process.
Collaborate with development and QA teams to troubleshoot issues and recommend corrective actions.
Automate repetitive testing tasks to improve efficiency and coverage of BVT suites.
Monitor build pipelines and provide regular reports on build quality and test outcomes to stakeholders.
Requirements
Bachelor’s degree in Computer Science, Information Technology, or a related field.
A software engineering role focused on integrating machine learning and neural network models into production products, developing AI agents, and working with embedded Linux environments.
Responsibilities
Integrate ML and neural network models developed by ML Engineers into production applications.
Build and maintain Python-based inference pipelines and services.
Develop software components that connect ML models with existing product functionality.
Develop AI agents and agent-based workflows, including tool calling, external services, and APIs.
Design and implement REST APIs / integration APIs for external products and services.
Owns retail client reporting and halo measurement, building dashboards, analyzing performance data, and providing actionable insights for TikTok Shop and social activity lift.
Locations (2)
Minneapolis, Minnesota, United States
United States
Compensation
Base salary: $75K - $85K annually
Responsibilities
Build and maintain retail client dashboards
Own weekly and monthly reporting cadence
Automate repetitive reporting
Set benchmarks for clients
Turn performance data into actionable recommendations
Provide end-to-end ownership of technical product delivery across automation and full-stack development initiatives, guiding architecture, directing engineering workstreams, and ensuring solutions align with client mission needs.
Compensation
Pay: $155,000.00 - $165,000.00 per year
Responsibilities
Provide architectural oversight and technical direction across teams developing full-stack applications (React, Spring Boot) and Python-based automations.
Validate engineering approaches, enforce best practices, and ensure solutions are scalable, secure, and maintainable.
Translate complex client requirements into clear, actionable technical designs.
Lead solutioning sessions and define system architecture and automated processes in collaboration with engineering teams.
Serve as the primary technical interface with stakeholders.
A Senior Data Engineer with expertise in enterprise database administration, data pipelines, backup and recovery, performance optimization, and automation to support a California State Government project.
Responsibilities
Author and monitor data pipelines
Install, configure, maintain, and administer enterprise databases
Manage schema, user administration, capacity planning, and configuration standards
Implement database backup, restoration, high availability, replication, and disaster recovery solutions
Monitor database performance, optimize queries and indexes, and resolve database incidents
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