Senior AI/ML Engineering Specialist, Responsible AI
CAD 99K-132K Senior-level Full Time
Tasks
- Add explainability layers
- Automate ML validation pipelines
- Build responsible AI toolkit
- Collect compliance evidence for audits
- Conduct Responsible AI assessments
- Create model cards and datasheets
- Engineer fairness constraints
- Harden models against adversarial inputs
- Implement model evaluation and fairness testing
- Integrate validation APIs with MLOps platform
- Maintain model documentation
- Perform root cause analysis for model incidents
- Rebalance training data
- Restructure feature pipelines
- Run red teaming for generative AI
Perks/Benefits
- N/A
Skills/Tech-stack
AIF360 | Adversarial Testing | Amazon SageMaker | Automated testing | Azure Machine Learning | CI/CD | Data Lineage | Data Quality | Data provenance | Databricks | Evidently AI | Explainability | Fairlearn) | Fairness testing | Google Vertex | Google Vertex AI | Guardrails AI | Hallucination Measurement | LIME | Langchain | Langgraph | MLOps | Machine Learning | Model Evaluation | Model Registry | Monitoring | Pipeline Orchestration | Prompt injection | Prompt injection detection | PyTorch | Python | RLAIF | RLHF | Robustness | SHAP | Scikit-learn | TensorFlow | Toxicity scoring | Vertex AI
Education
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