Data Scientist - AI/mL Specialist
Tasks
- Build explainable auditable AI models
- Build scalable data pipelines
- Collaborate with engineering and cybersecurity specialists
- Communicate model decisions to stakeholders
- Deploy production AI ML solutions
- Design AI/ML systems
- Detect bias performance degradation and security vulnerabilities
- Develop machine learning models for anomaly detection
- Develop machine learning models for entity resolution
- Develop machine learning models for network analysis
- Develop microservices for AI capabilities
- Document architecture and data flows
- Document model explanations
- Ensure compliance with AI security control baseline
- Ensure lawful data acquisition
- Implement ETL processes
- Implement continuous model monitoring
- Implement human in the loop oversight
- Integrate AI capabilities via APIs
- Maintain data provenance documentation
- Perform risk management
- Support AI use case approval
- Support security authorization processes
Perks/Benefits
Skills/Tech-stack
APIs | Adversarial Machine Learning | Apache Airflow | Apache Spark | Bias detection | CI/CD | Change Data Capture | Data Capture | Data provenance | ETL | Elasticsearch | Explainable AI | Fine Tuning | Graph Databases | Human-in-the-loop | Kibana | LIME | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model versioning | NumPy | Open Source | Open-source intelligence | Pandas | Prompt Tuning | Prompt engineering | PyTorch | Python | Risk Management | SHAP | Scikit-learn | Security authorization | Source Intelligence | Streaming Analytics | TensorFlow | The Loop | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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