Artificial Intelligence/Machine Learning Engineer
Tasks
- Collaborate with analysts to identify automation opportunities
- Create automation workflows for malware sample collection detonation taxonomy
- Create data transformation and normalization automation
- Develop automated data pipelines
- Develop monitoring and alerting automation
- Develop scripts and tools for repetitive technical tasks
- Document automation solutions and maintain code repositories
- Ensure automation solutions maintain data quality and integrity
- Implement AI LLM integrations with Databricks and cloud services
- Implement API integrations for data sharing and workflow automation
- Implement data integration automation between pilot and production systems
- Optimize automation performance and efficiency
- Support AI ML data preparation and feature engineering automation
- Support Automated Malware Analysis platform development
- Support continuous improvement of automated capabilities
- Support scaling automation from pilot to production
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | APIs | AWS | Amazon Bedrock | Amazon Kinesis | Apache Spark | Automation frameworks | CI/CD | Data Modeling | Data Pipelines | Database systems | Databricks | Docker | Feature Engineering | Git | Hadoop | Kafka | Kubernetes | Machine Learning | Python | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
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