Senior Staff Software Engineer (AI/ML)
Tasks
- Build and deploy machine learning models
- Conduct backtesting and stability checks
- Create reference architectures
- Define non-functional requirements
- Design evaluation strategies
- Develop AI roadmaps
- Drive build-vs-buy decisions
- Ensure privacy by design for UK EU
- Ensure secure by design AI services
- Establish MLOps standards CI CD for ML
- Establish reusable patterns and golden paths
- Implement ML monitoring for data drift and model performance
- Lead AI/ML system architecture
- Lead architecture reviews
- Measure fairness and bias
- Mentor engineers and data scientists
- Partner with stakeholders to define success metrics and ROI
- Produce responsible AI governance artifacts
- Run online experimentation
- Set retraining triggers and human in the loop workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AUC | Airflow | Apache Spark | Audit Logging | Backtesting | Bias Mitigation | CI/CD | Calibration | DBT | Dagster | Data Drift | Data Lineage | Data Quality | Databricks | Docker | ELK | Encryption | Fairness | FastAPI | Feast | Feature Engineering | Feature Store | Grafana | IAM | KServe | Kafka | Kubernetes | LightGBM | MLOps | MLflow | Machine Learning | Model Drift | Model Monitoring | Model Registry | OpenTelemetry | PR Curves | Prefect | Prometheus | PyTorch | Python | SQL | Scikit-learn | Seldon | Streaming Data | Tecton | TensorFlow | Triton | Vector Database | Weights and Biases | XGBoost
Education
N/A
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