Point Wild (Formerly Pango Group)

AI Engineer

Point Wild (Formerly Pango Group)

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudCyber SecurityPythonPyTorchScikit-LearnTensorflow

About the role

  • Design and optimize machine learning models (supervised, unsupervised, and NLP-based) to drive security-focused intelligence across the Lat61 platform.
  • Build and deploy RAG pipelines, embeddings, and feature stores for context-aware, real-time decision-making.
  • Collaborate with Data and MLOps engineers to package, deploy, and monitor models in scalable, cloud-native environments.
  • Leverage deep learning and NLP to provide actionable insights into risk posture, compliance, and security events.
  • Research and prototype AI approaches adaptable to post-quantum cryptographic standards and automated remediation.
  • Implement, refine, and maintain ML models; optimize model efficacy, efficiency, and reliability; support multiple parallel AI initiatives.

Requirements

  • At least 4 years of experience in AI/ML Engineering with strong hands-on expertise in developing and deploying production-grade ML models.
  • Strong ML & AI Fundamentals: Hands-on experience with supervised/unsupervised learning, NLP, and deep learning techniques.
  • Production Experience: Proven track record of building, optimizing, and deploying models into production environments.
  • Model Deployment & MLOps Experience: Comfortable working with containerized models, cloud-based AI pipelines (AWS preferred), and CI/CD for ML.
  • Proficiency in Python & ML Frameworks: Experience with PyTorch, TensorFlow, Scikit-learn, or similar tools.