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Cybersecurity AI/ML Strategist

2 months ago

Toronto, Ontario, Canada Equinix Full time

About Equinix

Equinix is the world's digital infrastructure company, operating over 250 data centers across the globe. We enable organizations to access all the right places, partners, and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences, and multiply their value, while supporting their sustainability goals.

Our Culture

We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills and try new approaches. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success.

Job Summary

We are seeking an experienced and visionary leader to join our cybersecurity team as the Head of Infosec AI/ML Cyber Data Science. The successful candidate will lead the organization in shaping and executing our cybersecurity artificial intelligence (AI) and machine learning (ML) strategies to enhance and support our threat detection, incident response, and insider threat capabilities.

Responsibilities

  • Lead and manage a team of AI/ML data scientists and researchers to drive innovation in cybersecurity.
  • Develop and implement the overarching AI/ML strategy for cybersecurity, aligning it with business objectives.
  • Provide both strategic and tactical guidance, including thought leadership on the adoption and integration of cutting-edge AI/ML technologies.
  • Collaborate with cross-functional teams and security subject matter experts to understand emerging threats and develop solutions into the cybersecurity framework.
  • Oversee the development of advanced analytics models for threat detection, response, and prediction to identify patterns, anomalies, and trends.
  • Stay abreast of industry trends and advancements in AI/ML and cybersecurity to inform strategic decision-making.

Qualifications

  • Master's or Ph.D. in Data Science, Computer Science, Cybersecurity, Machine Learning, Artificial Intelligence, or a related field.
  • Proven technical experience in applying machine learning and data science techniques to cybersecurity challenges.
  • Demonstrated ability to drive results, make strategic decisions, and lead a high-performing team.
  • Knowledge of cybersecurity principles, protocols, technologies, domain topics, and threat analysis.
  • Strong programming skills in languages such as Python, R, Bash, Java, etc.
  • Experience with Cloud Service Providers (e.g., AWS, GCP, Azure), containers (e.g., Docker, Kubernetes), virtualization techniques (e.g., Hypervisors), big data technologies (e.g., Spark, Athena, Redshift, Bigquery), and data visualization tools (e.g., Tableau, PowerBI).
  • Excellent communication and interpersonal skills, with the ability to articulate complex technical models to both technical and non-technical stakeholders.
  • Industry certifications in cybersecurity (e.g., CISSP, CISM, GSEC, GCIH, GCFA, etc).
  • Previous experience in a leadership role within a cybersecurity or AI/ML-focused organization.