HTC Global Services is looking for a Software Developer Engineer in Test (SDET) with a strong background in AI/ML testing to build automated frameworks, validate generative AI and traditional ML models, and implement safety guardrails to ensure accuracy, fairness, and reliability.
Requirements
- Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)
- 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
Responsibilities
- 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
Other
- Experience as an SDET or AI/ML Engineer with focus on testing and validation
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
