Machine Learning Engineer - Remote

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.