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Machine Learning Engineer - Remote

Posted 5 weeks ago

Overview

As a Machine Learning Engineer at Blackpoint Cyber, you will play a crucial role in developing and deploying machine learning solutions to enhance our cybersecurity products and services.

In Short

  • Lead the machine learning function for the A.I. business unit.
  • Build and optimize ML models for cybersecurity applications.
  • Design and administrate ML infrastructure.
  • Implement MLOps workflows and containerized services.
  • Collaborate with cross-functional teams to enhance product offerings.
  • Focus on data-driven decision-making and problem-solving.
  • Contribute to A.I. architecture and design decisions.
  • Conduct performance and deployment testing of ML solutions.
  • Ensure ML governance and lifecycle best practices.
  • Support Blackpoint’s mission to stop cyber-attacks.

Requirements

  • 5+ years of hands-on ML Engineering experience.
  • Experience with cloud-based ML infrastructure (AWS).
  • Proficiency in model development and deployment operations.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Familiarity with containerized services (Docker, Kubernetes).
  • Experience with scripting languages (Python, Bash).
  • Knowledge of query languages (SQL, Ksql).
  • Understanding of GitFlow and DevOps best practices.
  • Experience in cybersecurity, IoT, or NLP is a plus.

Benefits

  • Competitive Health, Vision, Dental, and Life Insurance plans.
  • Robust 401k plan.
  • Discretionary Time Off.
  • Encouragement of diversity and equality in the workplace.
  • Opportunities for professional growth and development.

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