Senior Data Engineer - Backend Development , Python , ETL - Continuous Learning Opportunities

Responsibilities

• Execute on the company’s natural language processing and machine learning strategy
• Design and implement:
  • Natural language processing algorithms to match cybersecurity vulnerability data from multiple sources
  • Web scraping workflows
  • Extract-transform-load (ETL) workflows that keep our data fresh
• Customer- and internal-facing HTTP APIs
• Tooling to serve our data analysts
• Write unit and integration tests
• Participate in sprint planning, collaborating with non-technical stakeholders to understand and fulfil business requirements
• Review and give feedback on software design, pull requests, and other technical deliverables
   

Requirements

• A commitment to code quality, especially in Python
• Experience with natural language processing and machine learning, including both classical methods and deep learning
• Experience with MLops (model deployment, reproducibility, explainability, maintenance)
• A deep understanding of:
• Maintainable and scalable software architecture
• Object-oriented programming and design patterns

HOW TO APPLY:

Interested applicants, please click on “Apply Now” and provide the below details in your resume.

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