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Privacy Preserving Machine Learning Jobs in Kansas

StackAdapt

... of AI, machine learning, and automated decision-making tools, including training data, model outputs, and emerging governance obligations. * Support the Privacy team on data governance matters ...

Miamioh

Director, Business Intelligence Team

Hoyt, KS · On-site

$155K/yr

... strategy, privacy, security, and consistent practices. * Other duties as assigned. Minimum ... Experience applying predictive analytics, machine learning, or AI capabilities to business or ...

SiFive

... machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC-V ... Privacy Policy Document

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Privacy Preserving Machine Learning information

What are some common challenges faced by professionals working in privacy preserving machine learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a privacy preserving machine learning engineer?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.
What job categories do people searching Privacy Preserving Machine Learning jobs in Kansas look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Kansas are:
What cities in Kansas are hiring for Privacy Preserving Machine Learning jobs? Cities in Kansas with the most Privacy Preserving Machine Learning job openings:
Privacy Preserving Machine Learning jobs near you

Cybersecurity Analyst, Security and AI Governance - Overland Park, KS

Cogent Communications

Overland Park, KS • On-site

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Cogent Communications rating

8.7

Company rating: 8.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

8th of 97 rated telecommunications companies

Job description

Company Overview
Cogent Communications is a global, Tier 1 facilities-based ISP, consistently ranked as one of the top five networks in the world and is publicly traded on the NASDAQ Stock Market under the ticker symbol CCOI. Cogent specializes in providing businesses with high-speed Internet access and Ethernet transport services. Cogent's facilities-based, all-optical IP network backbone provides IP services globally. Since its inception, Cogent has unleashed the benefits of IP technology, building one of the largest and highest capacity IP networks in the world. This network enables Cogent to offer large bandwidth connections at highly competitive prices. Cogent also offers superior customer support by virtue of its end-to-end control of service delivery and network monitoring. A competitive base salary and a full benefits package including; Health, Dental, Vision, Paid Time Off (PTO), Short- and Long-Term Disability, Life Insurance, Holidays, Parental Leave, 401(k) plan with employer match, stock options, and an Employee Assistance Program. Most benefits take effect within 30 days of employment, and some require a waiting period.
Job Summary:
The Cybersecurity Analyst (Security & AI Governance) is responsible for protecting the organization's information assets, technology infrastructure, applications, cloud environments, data, and artificial intelligence (AI) initiatives from cyber threats and misuse. This role serves as a key contributor to both cybersecurity operations and AI governance programs by identifying, assessing, monitoring, and mitigating risks associated with Information Systems as well as AI-enabled technologies. The Cybersecurity Analyst (Security & AI Governance) works closely with IT teams, software developers, business stakeholders, and external partners to ensure cybersecurity and AI initiatives align with security policies, industry standards, regulatory requirements, and emerging AI governance frameworks. This position will work closely with the CIO and CISO functions to provide a cohesive plan for cybersecurity initiatives, AI governance, Shadow AI oversight, risk management, and continuous improvement initiatives.
Compensation: [Starting / Initial] Base Salary Pay Range: $100,000 - $120,000
Specific offers within the listed pay ranges are determined by a variety of factors such as experience, education, skills, certifications and business needs.
Essential Duties and Responsibilities:
  • Monitor security systems, networks, applications, cloud platforms, and AI-enabled services for suspicious activity and potential threats.
  • Analyze security alerts and investigate cybersecurity incidents to determine root causes and appropriate remediation actions.
  • Support incident response activities, including containment, eradication, recovery, and post-incident analysis.
  • Conduct vulnerability assessments and coordinate remediation efforts with technical and business stakeholders.
  • Review and analyze security logs from various sources, including firewalls, intrusion detection/prevention systems, endpoint protection platforms, cloud environments, identity providers, AI platforms, and other security technologies.
  • Perform security assessments and risk analyses of systems, applications, AI solutions, and business processes.
  • Assist in the development, implementation, and continuous improvements of cybersecurity and AI governance policies, standards, procedures, and controls.
  • Collaborate with IT, software development, and business teams to implement security best practices and controls (security-by-design principles and secure technology solutions)
  • Participate in the review, risk assessment, and governance oversight of internally developed AI solutions, machine learning models, and employee-driven AI initiatives.
  • Evaluate third-party AI vendors, applications, and services for cybersecurity, privacy, compliance, data protection, and operational risks.
  • Identify, assess, and monitor risks associated with generative AI, large language models (LLMs), machine learning platforms, prompt injection attacks, data leakage, insecure APIs, and AI supply chain vulnerabilities.
  • Assist with the development and administration of the organization's AI governance and Shadow AI oversight programs.
  • Support secure development practices for internally developed applications and AI-enabled solutions, and emerging technology initiatives.
  • Maintain, optimize, and enhance security tools and technologies to ensure optimal performance and effectiveness.
  • Participate in security awareness and AI awareness training initiatives for employees.
  • Assist with audits, compliance reviews, AI governance assessments, and regulatory reporting requirements.
  • Research emerging cybersecurity threats, vulnerabilities, cybersecurity trends, AI technologies, and industry best practices and recommend appropriate mitigation strategies/countermeasures.
  • Maintain inventories of approved AI solutions, AI vendors, and AI-related business initiatives.
  • Develop and maintain reports, dashboards, metrics, risk assessments, and documentation related to cybersecurity operations, AI governance, compliance and enterprise risk management activities.

Qualifications:
  • Cybersecurity, Computer Science, Information Systems, Data Science, or related Associate's or Bachelor's degree.
  • Minimum of 2-5 years of experience in cybersecurity, information security, application security, cloud security, software development, or a related technical role.
  • Experience with security monitoring, incident response, vulnerability management, risk assessment, and security control implementation.
  • Familiarity with generative AI, machine learning concepts, large language models (LLMs), or AI-enabled business applications.
  • Strong hands-on information security skills and experience.
  • Ability to work independently on projects as assigned.
  • Excellent communication, presentation, and organizational skills.
  • Strong analytical and problem-solving abilities.

Proficient in the following areas:
  • Knowledge of cybersecurity frameworks and standards, including CIS Controls, NIST Cybersecurity Framework, and security best practices.
  • Familiarity with AI governance principles and emerging AI risk management frameworks.
  • Understanding of network security concepts, endpoint security technologies, identity and access management systems, threat detection methodologies and cloud security principles.
  • Knowledge of application security concepts, API security, and secure software development practices.
  • Understanding of risks associated with generative AI platforms, LLMs, prompt injection, data privacy, and AI model security.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Ability to write and present formal documentation, risk assessments, and executive-level reports.
  • Experience with security information and event management (SIEM) tools and security monitoring platforms is a PLUS.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud is a PLUS.
  • Experience with scripting or automation tools such as Python or PowerShell is a PLUS.
  • Experience supporting software development, DevSecOps, or application security initiatives is a PLUS.

Preferred Certifications
  • Certified Information Systems Security Professional (CISSP)
  • Certified Ethical Hacker (CEH)
  • CompTIA Security+
  • GIAC Security Essentials (GSEC)
  • Relevant AI Security, Cloud Security, Application Security, or Governance certifications are highly desirable.

Physical Requirements:
  • Remains in a sitting/stationary position continually or almost continually during the work day
  • Operates a computer and performs desk-based computer tasks continually; frequently viewing a computer screen
  • Rarely lifting, carrying, pushing, pulling objects and/or equipment that weighs up to 50 pounds

NOTE: This job description is intended to describe the general nature and level of work performed and is not intended to be an exhaustive list of all duties, responsibilities, or qualifications.
By submitting an application or resume for this position, I understand that is an in-office position.
To apply for the Cybersecurity Analyst (Security and AI Governance) position, please submit your resume to This email address is being protected from spambots. You need JavaScript enabled to view it. .
Candidates only. No Recruiters, please!
Cogent Communications is an Equal Opportunity Employer.

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