Cyber Security Engineer, Threat Hunter

Darling Ingredients•Cold Spring, KY

About The Position

Darling Ingredients seeks a Cyber Security Engineer - Threat Hunter with an analytical mind and meticulous attention to detail, outstanding problem-solving skills, work comfortably under pressure and deliver on tight deadlines. As a threat hunter you will be responsible proactively identifying, investigating, and mitigating advanced cyber threats across the organization's digital environment. This role combines traditional threat hunting methodologies with advanced AI-driven detection, analytics, and automation tools to uncover stealthy adversaries, anomalous behaviors, and potential vulnerabilities before they can be exploited. The ideal candidate can demonstrate technical knowledge, strong analytical thinking, and the ability to leverage machine learning (ML) and artificial intelligence (AI/LLMs).

Requirements

High School Diploma Required
Ability to demonstrate a general understanding of machine learning & artificial intelligence
Languages: Portuguese - Strong & English - Strong
Ability to work under pressure in a fast-paced environment
Strong attention to detail with an analytical mind and outstanding problem-solving skills
Self-motivated and communicates well with both technical and non-technical audiences
Passion for cybersecurity and strong interpersonal and collaborative skills, with the ability to work in a team environment

Nice To Haves

Proven experience using AI-driven security tools, LLMs, or ML-based analytics in a security context.
Awareness of cybersecurity trends and hacking techniques
Familiarity with generative AI, agentic AI, and LLM-based automation for cyber defense.
Advanced training on anomaly detection; tool-specific training for data aggregation, analysis, and adversary detection

Responsibilities

Conduct proactive threat hunts across enterprise systems, networks, cloud workloads, and endpoints using both manual techniques and AI-enhanced detection models.
Develop, train, tune, and deploy machine learning and generative AI models that identify anomalies, classify threats, and enhance detection fidelity.
Utilize AI-based tooling (LLMs, automated analysis agents, supervised ML models) to accelerate malware analysis, log enrichment, correlation, and triage.
Build hypotheses based on threat intelligence, attacker TTPs, environmental telemetry, and known adversary behavior patterns.
Analyze large-scale datasets (network flows, endpoint telemetry, authentication logs, EDR/XDR data, cloud logs) to uncover indicators of compromise and previously undetected intrusion activity.
Create advanced detection logic, behavioral analytics, and automated playbooks using AI-powered security platforms (SIEM, SOAR, XDR, and custom tooling).
Perform root-cause analysis of identified threats and provide actionable remediation guidance to SOC, IR, and engineering teams.
Collaborate with red teams, threat intelligence analysts, and security engineering to continuously improve organizational detection maturity.
Maintain up-to-date knowledge of emerging threats, AI-based attack methods, and adversarial machine learning techniques.
Document findings, produce executive-ready reports, and brief stakeholders on hunting outcomes and recommended control improvements.
Regularly communicate with the business at all levels (local user to executive level) about relevant risks.