Position Details
About this role
Software engineer with a focus on machine learning to build predictive ML solutions for EA FCQuality Verification. You will develop ML-based designs, forecast code-change impacts, and design automated testing frameworks with potential hybrids across teams.
Key Responsibilities
- Build ML models to predict code change impacts
- Design LLM-driven automated testing frameworks
- Collaborate with QA engineers and AI/ML teams
- Train/evaluate ML models; maintain continuous learning
- Integrate ML models into developer workflows
Technical Overview
Stack includes Python and C++, backend development, APIs, system design, and ML engineering concepts such as model training and evaluation. The role emphasizes collaboration with QA engineers and AI/ML teams to integrate models into developer workflows; hybrid in-office/remote work in Orlando.
Ideal Candidate
The ideal candidate is a mid-level ML engineer with 1-2 years of software/ML experience, strong Python/C++ skills, and an ability to design backend services and ML pipelines. They should be comfortable collaborating across teams, applying ML to test solutions, and leveraging AI-assisted coding tools in a hybrid Orlando-based environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of 1-2 years ML/software engineering experience, No degree or equivalent experience, Inability to work in a hybrid Orlando, FL environment
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