AI/ML Engineer (Developer)

About the job

As an AI/ML Engineer, you will develop and operationalize ML models that power Cyforte.ai’s AI Security Agents, working directly with real-world security data. Key Responsibilities · Write production-grade Python code to build, train, and deploy ML models. · Parse, normalize, and analyze high-volume logs, events, and alerts. · Implement feature pipelines using Python, SQL, and data processing libraries. · Develop decision rules and heuristics that augment ML outputs. · Train and evaluate models for alert triage, correlation, prioritization, and anomaly detection. · Integrate ML inference into backend services using REST/gRPC APIs. · Contribute to MLOps pipelines using Docker, Kubernetes, CI/CD, and AWS services. · Optimize models for latency, scalability, and cost. What We’re Looking For · Strong coding skills in Python. · Experience with ML libraries: PyTorch, TensorFlow, scikit-learn. · Working knowledge of SQL and relational databases. · Experience deploying ML models in production environments. · Familiarity with AWS (SageMaker, EKS, S3, Lambda is a plus). · Exposure to logs, events, or observability/security data is a strong plus. · Builder mindset with eagerness to learn and own outcomes. What we offer: We believe in sharing success with the team. Along with competitive compensation, we offer milestone-based bonuses and equity ownership so everyone building Cyforte.ai participates in the long-term value they help create. · Competitive base compensation · Milestone-based performance bonus, linked to outcomes: o Product and platform milestones o Model accuracy, reliability, and adoption goals o Platform readiness for enterprise and AWS Marketplace o Delivery, quality, and operational excellence · Equity participation (ESOPs) · Opportunity to work on high-impact problems at the intersection of AI, cybersecurity, and cloud.

Requirements

• Python
• ML Libraries
• SQL
• MLOps
• AWS

Preferred Technologies

• Python
• ML Libraries
• SQL
• MLOps
• AWS

Benefits

• Competitive base compensation
• Milestone-based performance bonus
• Equity participation (ESOPs)