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Lead Gen AI​/ML QA​/SDET – Guardrails & Evaluations

Job in Orlando, Orange County, Florida, 32885, USA
Listing for: HTC Global Services
Full Time position
Listed on 2025-12-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Lead Gen AI / ML QA / SDET – Guardrails & Evaluations

Lead Gen AI / ML QA / SDET – Guardrails & Evaluations

Join to apply for the Lead Gen AI / ML QA / SDET – Guardrails & Evaluations role at HTC Global Services

Overview

We’re looking for a hands‑on SDET with strong experience in AI/ML testing. This role focuses on building automated frameworks, validating generative AI and traditional ML models, and implementing safety guardrails to ensure accuracy, fairness, and reliability. The position requires at least half of your time spent in programming, with a heavy emphasis on automation and testing at scale.

What You’ll Do

  • Develop automated testing frameworks for AI/ML pipelines, model performance, and knowledge base integrations
  • Evaluate outputs for bias, hallucinations, accuracy, and drift using leading tools
  • Implement guardrails, red team/adversarial testing, and safety checks for generative AI models
  • Work closely with data scientists, ML engineers, and product teams to refine requirements and integrate testing into deployment pipelines
  • Drive process improvement by automating validation, documenting defects, and influencing quality practices across the SDLC
  • Contribute to best practices in AI/ML testing, monitoring, and responsible deployment

What We’re Looking For

  • Experience as an SDET or AI/ML Engineer with a focus on testing and validation
  • Strong programming skills in Python and ML libraries (Tensor Flow, PyTorch, Scikit‑learn, Pandas, Num Py)
  • Background in testing ML models (supervised, unsupervised, reinforcement learning) and generative AI systems
  • Hands‑on experience with CI/CD pipelines, MLOps, and model deployment in cloud environments (AWS, Azure, GCP)
  • Familiarity with tools for explainability and monitoring (e.g., SHAP, LIME, MLflow, Weights & Biases)
  • Knowledge of data validation, model lifecycle management, and distributed training environments
  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

EEO Statement

HTC Global Services is an Equal Opportunity Employer that embraces diversity and is a proud National Minority Supplier. We are committed to providing a workplace free from discrimination and harassment. All employees are treated with dignity and respect, and we encourage the diverse cultures, perspectives, and skills that drive innovation.

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