{"id":630935,"url":"https://alion.io/job/d2b-ai-security-expert","title":"AI Security Expert","company":{"id":709562,"name":"Pear Tree","domain":"pear-tree.com","url":"https://alion.io/company/pear-tree","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":76,"open_postings":140,"ghost_share":0,"stale_share":0.971,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Manila, Philippines","New Delhi, India"],"countries":["PH","IN"],"hiring_countries":["IN","PH"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":48000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Federated Learning","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"PyTorch","optional":false},{"name":"Red Teaming","optional":false},{"name":"TensorFlow","optional":false},{"name":"Threat Modeling","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-05-11T00:00:00Z","employer_posted_date":"2026-05-11","last_verified_at":"2026-10-31T03:49:23Z","board_verified":true,"closed_at":null,"days_open":173,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":173},"description":"Position: AI SECURITY EXPERT\nSalary rang e: up to ₱150,000 Philippine Peso (with the final offer subject to the client’s discretion based on the candidate’s experience)\nWorking Hours: AU/NZ business hours\nWork set-up: 100% Remote work\nHolidays: New Zealand Holidays\nCOMPANY OVERVIEW\nOur company is a leading-edge workforce and asset management platform dedicated to resourcing seamlessly at scale. We empower industries with mobile workforces-such as construction, healthcare, and logistics-by streamlining complex scheduling, compliance, and safety workflows through intelligent automation.\nOVERVIEW ON THE ROLE\nThe AI Security Expert bridges the gap between cybersecurity and machine learning to protect AI systems from emerging threats while ensuring models are secure, compliant, and resilient. You will proactively manage risks unique to AI environments-such as adversarial attacks and data poisoning-to build trustworthy, production-ready systems that are robust against an evolving cyber threat landscape.\nCore Responsibilities\nYour focus will be on the end-to-end security of our AI lifecycle, specifically targeting the following areas:\nPipeline Security: Designing and implementing protocols to secure model training and deployment pipelines against unauthorized access or tampering.\nAdversarial Defense: Proactively identifying and preventing adversarial attacks, including input manipulation, model inversion, and data poisoning.\nIntellectual Property & Privacy: Implementing advanced measures to protect sensitive dataset privacy and safeguard our proprietary model intellectual property.\nThreat Modeling & Red Teaming: Conducting AI-specific threat modeling and internal \"red team\" exercises to discover vulnerabilities before they can be exploited.\n Governance & Compliance: Ensuring all AI initiatives align with global security standards (e.g., ISO/IEC 42001, NIST AI RMF), ethical guidelines, and emerging AI governance frameworks.\nQualifications & Technical Skills\nProcess thinking and systems design\nProblem solving and analytical skills\nStrong stakeholder communication\nStrategic thinking with practical implementation ability\nAbility to translate technical solutions for non-technical teams \nOutcomes / Success Measures\nSuccess in this role will be measured by:\nReduction in manual processes \nIncreased operational efficiency \nSuccessful deployment of AI-powered workflows \nImproved data-driven decision making\nScalable automation infrastructure \nRequirements\nRequired\nTo excel in this role, you will need a unique blend of traditional cybersecurity expertise and deep learning proficiency.\n AI/ML Proficiency: Strong understanding of machine learning frameworks (e.g., PyTorch, TensorFlow) and the underlying mathematics of model architectures.\nAdversarial AI Knowledge: Proven experience with adversarial machine learning techniques, such as Gradient-based attacks, Evasion attacks, and Model Extraction.\n Secure Software Development: Expertise in securing CI/CD pipelines and containerized environments (Docker, Kubernetes) specifically for ML workloads.\nData Protection: Proficiency in privacy-preserving technologies such as Differential Privacy, Homomorphic Encryption, or Federated Learning.\n Cloud Security: Deep experience with security configurations in AWS, Azure, or GCP, specifically regarding managed AI services (e.g., SageMaker, Vertex AI).\nEducation\nEducation: A Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, or a related field.\nProfessional Background: 5+ years of experience in Cybersecurity, with at least 2 years specifically focused on AI/ML security or research.\nCertifications: Relevant certifications such as CISSP, CISM, or specialized AI certifications (e.g., 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