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.
• Collaborate with cross-functional teams to implement ML workflows.
• Utilize cloud-based ML infrastructure, primarily AWS.
• Ensure best practices in ML governance and lifecycle management.
• Conduct performance and load testing of ML solutions.
• Develop containerized services using Docker and Kubernetes.
• Support the cybersecurity mission by stopping cyber-attacks.
• Communicate effectively with stakeholders at all levels.
• Contribute to A.I. architecture and design decisions.

Requirements

• 5+ years of hands-on ML Engineering experience.
• Experience with cloud-based ML infrastructure (AWS).
• Strong analytical and problem-solving skills.
• Proficiency in Python and SQL.
• Familiarity with MLOps workflows and CI/CD practices.
• Experience with containerization (Docker, Kubernetes).
• Knowledge of model development and deployment operations.
• Excellent communication and interpersonal skills.
• Ability to influence and collaborate with stakeholders.
• 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.