Job Description & How to Apply Below
Become the driving force behind AI/ML deployment at Blackpoint Cyber. As an AI/ML Ops Engineer, you will manage the entire AI lifecycle, from model training to production readiness.
In this role, you will leverage over 5 years of hands-on ML engineering experience. You are expected to have a strong grasp of cloud-based infrastructure, model development, and deployment operations. Collaborating closely with the Engineering team and Security Operations Center, your work will be crucial for delivering production-grade AI solutions.
Key Responsibilities:
• Own end-to-end AI/ML deployment pipelines
• Implement Infrastructure as Code using Terraform and Docker
• Build and automate ML workflows with CI/CD practices
• Ensure production-grade monitoring and visibility
• Collaborate with cross-functional teams for testing
Requirements:
• 5+ years of ML Engineering experience
• Proficiency in AWS and Sage Maker
• Strong analytical and problem-solving skills
• Excellent communication for stakeholder collaboration
• Familiarity with MLOps workflows and best practices
Shape the future of AI at Blackpoint Cyber while ensuring high-quality and reliable solutions.
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