Job Url: https://www.remoterocketship.com/company/realitydefender/jobs/mlops-engineer-united-states-remote Job Description: Reality Defender Website LinkedIn All Job Openings Reality Defender is a company that provides multi-model and multimodal platforms for detecting AI-generated content. It offers services to enterprises, governments, and platforms to detect deepfakes and synthetic media across various modalities such as audio, video, images, and text. The solutions are designed to protect against the rapidly growing threat of AI-generated content used for fraud and disinformation. Reality Defender's tools are probabilistic, meaning they do not rely on watermarks or prior authentication to verify authenticity. The company focuses on industries like media, finance, and government to safeguard against AI-generated threats. Deepfake Detection β€’ Generative AI β€’ GenAI β€’ Cybersecurity 11 - 50 employees πŸ” Security πŸ“± Media MLOps Engineer 4 days ago πŸ‡ΊπŸ‡Έ United States – Remote πŸ’΅ $150k - $220k / year ⏰ Full Time 🟑 Mid-level 🟠 Senior πŸ€– Machine Learning Engineer πŸ¦… H1B Visa Sponsor Airflow AWS Azure Cloud Cyber Security Docker Google Cloud Platform Jenkins Kubernetes Linux Python Terraform Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description Architect and manage our core MLOps infrastructure for model training, validation, and high-availability inference serving. Develop and own our CI/CD/CT (Continuous Integration, Delivery, and Training) pipelines to automate the testing and deployment of ML models. Implement comprehensive monitoring and alerting for model performance, data drift, and system health to guarantee production stability and uptime. Implement and maintain security best practices throughout the ML lifecycle, including data privacy, access management, and infrastructure hardening, in close collaboration with security and engineering teams. Partner closely with the AI and Engineering teams to streamline workflows, remove bottlenecks, and empower them to deliver value faster. 🎯 Requirements BS in Computer Science, a related technical field, or equivalent practical experience. 3+ years of professional experience in an MLOps, DevOps, or Software Engineering role with a focus on infrastructure. Hands-on experience with at least one major cloud provider (e.g., AWS, GCP, Azure). Strong proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes). Demonstrated experience designing and implementing automated CI/CD pipelines from scratch (e.g., using Jenkins, GitHub Actions). πŸ–οΈ Benefits Offers Equity Offers Bonus Apply Now Discover 100,000+ Remote Jobs!