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2 hours ago
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docker python pandas kubernetes pytorch
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📋 Description

  • Lead technical decision-making across project and platform delivery.
  • Architect robust, scalable apps; manage data lifecycle end-to-end.
  • Tackle runtime performance and optimize data access for responsiveness.
  • Craft and manage dynamic dashboards to transform data into visuals.
  • Collaborate with Product, Customer Success, DevOps, QA on deliverables.
  • Drive roadmap execution; remove bottlenecks; ensure on-time milestones.

🎯 Requirements

  • Secret clearance; upgrade to TS/SCI; on-site at Mark Center up to 5 days/wk.
  • CS degree or related field, or 5+ yrs software engineering.
  • Track record deploying software into production; AI/agentic systems.
  • Full-stack, DevSecOps; Docker, Kubernetes, and Git.
  • Python proficiency with the Python Data Stack (pandas, NumPy, scikit-learn, PyTorch).
  • Culture & Values: collaborative, lean in to tackle challenges.
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