Machine Learning Quality Engineer in GlobalLogic

Description:

Document Completeness Checker: Ensuring that all uploaded customer documents are complete and requesting any missing reference documents necessary for parameter identification.
Expanded Document Constructor: Developing comprehensive versions of both customer requirements and reference project documents by integrating information from referenced documents, including nested references.
Deviation Summarizer: Creating initial summaries of key differences between customer requirements and reference project documents, highlighting critical deviations.
Electrical Component Identification: Utilizing AI-driven object identification algorithms to identify and list electrical components in customer SLD diagrams.
Parameter Extraction & Mapping: Extracting and associating relevant parameters such as dimensions and material properties from customer specifications with the identified electrical components.
User Interface: Developing a user-friendly interface for engineers to review and edit the list of electrical components and corresponding parameters, with future integration with 3D tools in the MVP phase.
Identical Term Presence Parser: Checking for elements missed in the Costing Sheet, focusing on identical terms used across the DoW and Costing Sheets.

Requirements:

3+ years of experience in testing AI/ML models.
Proficiency in creating and automating test plans.
Bachelor’s degree in Computer Science, Engineering, or equivalent.
Excellent problem-solving and analytical skills.
Demonstrated ability to ensure model quality and performance.
Good command of English for effective communication with team members.

Job Responsibilities:

Test AI/ML models to ensure they meet quality standards.
Develop and execute comprehensive test plans.
Automate testing processes to improve efficiency.
Analyze test results and report findings to development teams.
Collaborate with engineers to identify and fix bugs and issues.
Ensure models are robust and perform well across different scenarios.
Maintain documentation of test plans, results, and methodologies.