MLOps Engineer

United States

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$140,000 – $180,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, AI/ML, Media DetectionIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience, and a minimum of three years of professional experience in MLOps, DevOps, or Software Engineering with a focus on infrastructure. Strong proficiency with at least one major cloud provider such as AWS, GCP, or Azure is required, along with experience utilizing containerization and orchestration technologies like Docker and Kubernetes.

Responsibilities

The MLOps Engineer will architect and manage the core MLOps infrastructure for model training, validation, and high-availability inference serving, develop and own CI/CD/CT pipelines to automate model testing and deployment, implement comprehensive monitoring and alerting for model performance and system health, and collaborate with AI and Engineering teams to streamline workflows and improve efficiency. They will also implement and maintain security best practices throughout the ML lifecycle, partner with security and engineering teams, and contribute to the integration of ML models into existing tech stacks.

Skills

MLOps

Model Training

Validation

Inference Serving

CI/CD/CT pipelines

Monitoring and Alerting

Data Privacy

Security Best Practices

Infrastructure Hardening

Collaboration with AI and Engineering teams

Reality Defender

Deepfake detection for enterprises and governments

About Reality Defender

Reality Defender offers deepfake detection solutions to protect enterprises, platforms, and governments from AI-generated threats. Its detection platform scans images, videos, and audio in real time to identify fabricated content, helping to prevent misinformation. The company stands out by providing enterprise-grade services through a subscription model that allows easy integration into existing systems. The goal is to enhance fraud prevention and maintain the authenticity of digital content for clients.

New York City, New YorkHeadquarters

2018Year Founded

$46.7MTotal Funding

SERIES_ACompany Stage

Enterprise Software, Cybersecurity, AI & Machine LearningIndustries

51-200Employees