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 robust 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 SageMaker
- 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.