Job Description

We are looking for a skilled MLOps Engineer to manage and optimize machine learning infrastructure and deployment pipelines. The ideal candidate will have experience with cloud platforms, CI/CD pipelines, containerization, and machine learning model deployment.

As an MLOps Engineer, you will automate ML workflows, monitor AI systems, improve model scalability, and ensure the reliability of production machine learning applications.

Key Responsibilities

• Deploy machine learning models into production environments
• Build and maintain ML pipelines and automation workflows
• Monitor model performance and system reliability
• Manage cloud infrastructure for AI applications
• Automate training, testing, and deployment processes
• Optimize scalability and performance of AI systems
• Collaborate with Data Scientists and AI Engineers
• Implement CI/CD pipelines for machine learning projects
• Maintain data versioning and model tracking systems
• Ensure security and compliance of ML infrastructure

Required Skills

Technical Skills

• Python
• Machine Learning Basics
• Docker & Kubernetes
• CI/CD Pipelines
• Cloud Platforms (AWS, Azure, GCP)
• Linux Administration
• Git & Version Control

MLOps Tools

• MLflow
• Kubeflow
• Airflow
• Jenkins
• TensorFlow Serving
• FastAPI
• Databricks

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI, or related field
• 2–5+ years of experience in DevOps, Cloud, or Machine Learning
• Experience deploying machine learning models
• Knowledge of cloud architecture and automation

Preferred Certifications

• AWS Certified Machine Learning
• Microsoft Azure AI Engineer Associate
• Google Professional ML Engineer
• Docker & Kubernetes Certifications

Tools & Technologies

• Python
• Docker
• Kubernetes
• AWS SageMaker
• Azure ML
• Google Vertex AI
• TensorFlow
• PyTorch
• GitHub Actions
• Jenkins

Career Growth Opportunities

After gaining experience as an MLOps Engineer, professionals can move into:

• Senior MLOps Engineer
• AI Infrastructure Engineer
• Cloud AI Engineer
• Machine Learning Architect
• AI Platform Engineer
• DevOps Architect
• AI Solutions Architect

Job Description

Salesforce is hiring a Business Intelligence (BI) Analyst to support enterprise analytics, reporting, and strategic business decision-making through data-driven insights.

The role focuses on collecting, analyzing, and visualizing business data to improve operational efficiency, customer experience, and overall business performance. The BI Analyst will work closely with leadership, product teams, finance, marketing, and operations departments to develop dashboards, reports, and performance metrics.

This role is highly valuable in organizations that rely on data analytics and business intelligence to guide company strategy.

Key Responsibilities

• Analyze large business datasets to identify trends and insights
• Create dashboards, KPIs, and automated reports
• Develop SQL queries for data extraction and reporting
• Support business decision-making through analytics
• Design data visualizations using BI tools
• Monitor operational and financial performance metrics
• Collaborate with business and technical teams
• Improve reporting efficiency and data accuracy
• Perform ad-hoc analysis for leadership teams
• Present insights and recommendations to stakeholders

Required Skills

• Business Intelligence & Data Analytics
• SQL and Database Management
• Data Visualization
• Statistical Analysis
• Reporting & Dashboard Development
• Communication & Problem-Solving Skills

Tools & Technologies

• Power BI
• Tableau
• SQL
• Microsoft Excel
• Python
• Salesforce Analytics
• Google Analytics
• Snowflake

Qualifications

• Bachelor’s degree in:
  • Business Analytics
  • Data Science
  • Computer Science
  • Information Systems
  • Statistics
• 2–5 years of experience in:
  • Business Intelligence
  • Data Analysis
  • Reporting
  • Analytics
• Preferred Certifications:
  • Microsoft Power BI Certification
  • Tableau Desktop Specialist
  • Google Data Analytics Certificate

Career Growth

Future career opportunities:

• Senior BI Analyst
• Analytics Consultant
• Data Scientist
• BI Manager
• Product Analytics Manager
• Director of Business Intelligence

Job Description

Cisco is hiring a Security Governance Director to lead enterprise-wide cybersecurity governance, risk management, compliance strategy, and security policy operations.

This leadership role focuses on developing and managing governance frameworks, overseeing regulatory compliance programs, improving cybersecurity risk posture, and ensuring alignment with global security standards across enterprise systems and cloud environments.

The Security Governance Director works closely with executive leadership, legal, audit, compliance, IT, and cybersecurity teams to strengthen organizational security governance and support long-term business objectives.

Key Responsibilities

• Lead enterprise cybersecurity governance and compliance programs
• Develop and enforce security policies, standards, and procedures
• Oversee governance, risk, and compliance (GRC) initiatives
• Manage cybersecurity risk assessments and remediation strategies
• Ensure compliance with:
  • NIST
  • ISO 27001
  • SOC 2
  • PCI-DSS
  • HIPAA
  • GDPR
• Coordinate internal and external security audits
• Monitor cloud security governance and regulatory requirements
• Lead third-party/vendor risk management initiatives
• Provide executive-level risk and compliance reporting
• Collaborate with engineering, legal, and security operations teams
• Support incident response governance and security awareness programs
• Manage and mentor cybersecurity governance teams

Required Skills

• Enterprise Security Governance
• Risk Management & Compliance
• Cybersecurity Leadership
• Audit & Regulatory Compliance
• Security Policy Development
• Vendor Risk Management
• Cloud Security Governance
• Executive Communication & Reporting

Tools & Platforms

• ServiceNow GRC
• RSA Archer
• Splunk
• Microsoft Purview
• AWS Security Hub
• Power BI

Qualifications

• Bachelor’s or Master’s degree in:
  • Cybersecurity
  • Information Security
  • Computer Science
  • Information Technology
  • Risk Management
• 8–15+ years of experience in:
  • Cybersecurity Governance
  • GRC
  • IT Risk
  • Compliance Leadership
• Preferred Certifications:
  • CISSP
  • CISM
  • CRISC
  • CISA
  • ISO 27001 Lead Auditor

Career Growth

Future leadership opportunities:

• VP of Cybersecurity Governance
• Director of Enterprise Risk
• Chief Information Security Officer (CISO)
• Chief Risk Officer (CRO)
• Chief Compliance Officer (CCO)

Job Description

CrowdStrike is hiring a Cybersecurity GRC Analyst to support enterprise governance, risk management, and compliance operations across cybersecurity and cloud environments.

The role focuses on identifying security risks, ensuring compliance with regulatory standards, conducting audits, and improving the organization’s security governance framework.

The analyst works closely with cybersecurity teams, IT departments, auditors, and business stakeholders to strengthen security controls and maintain compliance across enterprise systems.

Key Responsibilities

• Conduct cybersecurity risk assessments and gap analysis
• Develop and maintain GRC policies, standards, and procedures
• Monitor compliance with security frameworks and regulations
• Support internal and external security audits
• Track remediation activities for identified security risks
• Review and document security controls
• Assist with third-party/vendor risk assessments
• Prepare compliance reports and audit evidence
• Collaborate with security, legal, and IT teams
• Support compliance initiatives related to:
  • NIST
  • ISO 27001
  • SOC 2
  • PCI-DSS
  • HIPAA
  • GDPR

Required Skills

• Governance, Risk & Compliance (GRC)
• Cybersecurity fundamentals
• Risk assessment and audit management
• Security documentation and reporting
• Compliance management
• Familiarity with:
  • ServiceNow GRC
  • RSA Archer
  • Splunk
  • Microsoft Purview
  • OneTrust
  • Power BI

Qualifications

• Bachelor’s degree in:
  • Cybersecurity
  • Information Technology
  • Computer Science
  • Information Security
• 2–5 years of experience in:
  • GRC
  • Cybersecurity
  • IT Audit
  • Risk Management
• Preferred Certifications:
  • Security+
  • CISA
  • CRISC
  • CISSP
  • ISO 27001 Lead Auditor

Career Growth

Possible future roles:

• Senior Cybersecurity GRC Analyst
• GRC Consultant
• Security Compliance Manager
• Cyber Risk Manager
• Cloud Security Governance Lead
• Chief Information Security Officer (CISO)

Job Overview

CyberFusion Technologies is seeking a Security Automation Engineer to develop intelligent security automation solutions that improve enterprise threat detection, incident response, and cloud security operations.

The ideal candidate will work closely with SOC teams, cloud engineers, and DevSecOps professionals to automate cybersecurity workflows, integrate security tools, and enhance operational efficiency across enterprise environments.

Job Description

The Security Automation Engineer will design and implement automated security systems to reduce manual cybersecurity operations and strengthen enterprise defense capabilities.

The role includes building automation scripts, integrating SIEM and SOAR platforms, automating vulnerability management processes, and supporting cloud-based security operations.

The candidate will also assist in improving security monitoring, threat intelligence integration, and automated incident remediation workflows.

Key Responsibilities

Security Automation

• Develop automated cybersecurity workflows and playbooks.
• Build scripts for threat detection and response automation.
• Integrate enterprise SIEM and SOAR platforms.
• Automate repetitive security operational tasks.
• Improve security event correlation and monitoring efficiency.

Threat Detection & Incident Response

• Support automated incident response operations.
• Analyze security alerts and automate remediation actions.
• Improve SOC operational efficiency using automation tools.
• Assist in threat hunting and threat intelligence integration.

Cloud & Infrastructure Security

• Automate AWS and Azure security monitoring.
• Configure security APIs and cloud integrations.
• Support Kubernetes and container security automation.
• Implement automated compliance and vulnerability checks.

DevSecOps & Security Operations

• Integrate security testing into CI/CD pipelines.
• Collaborate with DevOps and infrastructure teams.
• Improve cloud-native security operations.
• Support enterprise security monitoring systems.

Required Skills

Technical Skills

• Cybersecurity Automation
• SIEM & SOAR Platforms
• Cloud Security
• Threat Detection
• Incident Response
• API Integration

Programming & Automation

• Python
• PowerShell
• Bash Scripting
• REST APIs

Security Platforms & Tools

• Splunk
• Microsoft Sentinel
• Cortex XSOAR
• CrowdStrike
• Wireshark
• QRadar

Cloud & DevSecOps

• Amazon Web Services
• Microsoft Azure
• Docker
• Kubernetes
• Jenkins

Educational Qualifications

• Bachelor’s degree in:
  • Cybersecurity
  • Computer Science
  • Information Technology
  • Network Security

Preferred Certifications

• CompTIA Security+
• CEH (Certified Ethical Hacker)
• AWS Security Specialty
• Microsoft Security Operations Analyst
• GIAC Certifications

Experience Required

Technologies & Tools

Career Growth Opportunities

A Security Automation Engineer can advance into:

• Senior Security Engineer
• DevSecOps Engineer
• Cloud Security Architect
• SOC Automation Lead
• Cybersecurity Architect
• Security Operations Manager

Job Overview

VertexCore Technologies is seeking a Network Executive to manage enterprise network infrastructure, cloud connectivity, and IT operations across multiple business locations. The candidate will lead network strategy, performance optimization, and infrastructure modernization projects.

Key Responsibilities

• Oversee enterprise network infrastructure and connectivity.
• Manage routing, switching, and wireless networking systems.
• Monitor network security and system performance.
• Lead network operations and support engineering teams.
• Coordinate infrastructure upgrades and cloud networking projects.
• Ensure network uptime, reliability, and scalability.

Required Skills

• Cisco Networking
• Network Security
• SD-WAN
• TCP/IP
• Cloud Networking
• Leadership & Team Management

Job Overview

Infosys is seeking an experienced Power BI Consultant to design and implement enterprise-level business intelligence solutions for clients across multiple industries. The ideal candidate will work closely with stakeholders, business teams, and technical departments to transform raw business data into meaningful insights through interactive dashboards, reports, and analytics solutions.

The role requires strong expertise in Microsoft Power BI, SQL, DAX, data modeling, and cloud-based analytics platforms. Candidates should possess excellent communication skills and the ability to manage business intelligence projects from requirement gathering to deployment.

Key Responsibilities

Business Intelligence & Reporting

• Design, develop, and maintain interactive Power BI dashboards and reports.
• Create business performance metrics, KPIs, and executive reporting systems.
• Convert complex datasets into visually appealing and understandable reports.
• Build reusable reporting templates and scalable analytics solutions.

Data Analysis & Data Modeling

• Analyze structured and unstructured business data.
• Develop advanced DAX formulas, measures, and calculated columns.
• Create efficient data models and relationships.
• Perform data cleansing, transformation, and validation using Power Query.

Database & Integration

• Connect Power BI with multiple data sources such as:
  • SQL Server
  • Oracle Database
  • Excel
  • APIs
  • Azure Cloud
  • SharePoint
• Develop ETL workflows for data extraction and transformation.
• Optimize query performance and data refresh schedules.

Client & Stakeholder Management

• Gather reporting and analytics requirements from business stakeholders.
• Conduct meetings and workshops with clients.
• Provide technical guidance and BI recommendations.
• Train end-users on dashboard usage and report interpretation.

Cloud & Security

• Implement Power BI security standards and user access controls.
• Work with Azure cloud analytics and data services.
• Configure gateways, workspace management, and deployment pipelines.
• Ensure compliance with data governance policies.

Required Skills

Technical Skills

• Microsoft Power BI
• DAX (Data Analysis Expressions)
• Power Query
• SQL & SQL Server
• Data Modeling
• ETL Processes
• Excel Advanced Functions
• Azure Data Services
• Data Visualization

Programming & Analytics

• Python (Preferred)
• R Programming (Optional)
• Statistical Analysis
• Business Intelligence Reporting

Soft Skills

• Strong Communication Skills
• Client Handling & Presentation
• Problem-Solving Ability
• Analytical Thinking
• Team Collaboration
• Project Management

Educational Qualifications

• Bachelor’s degree in:
  • Computer Science
  • Information Technology
  • Data Analytics
  • Business Intelligence
  • Statistics
• Master’s degree is a plus.

Experience Required

• 3+ years of experience in Power BI Development or Business Intelligence.
• Experience with enterprise reporting projects.
• Experience working with cloud platforms preferred.

Preferred Certifications

• Microsoft Certified: Power BI Data Analyst Associate
• Azure Data Fundamentals
• Microsoft Azure Administrator
• SQL Certification

Tools & Technologies

Work Environment

• Collaborative and fast-paced environment.
• Opportunity to work with global enterprise clients.
• Exposure to cloud analytics and modern BI technologies.
• Agile project development methodology.

Career Growth Opportunities

A Power BI Consultant can grow into roles such as:

• Senior BI Consultant
• BI Architect
• Data Analytics Manager
• Cloud BI Engineer
• Data Engineer
• Analytics Solution Architect
• AI & Data Strategy Consultant

Job Description

Capital One is hiring Data Analysts to support business intelligence, customer analytics, and operational decision-making. The role focuses on analyzing large datasets, identifying trends, building dashboards, and helping teams make data-driven business decisions.

This is a real and common U.S.-based data analyst profile suitable for fresh graduates and early-career professionals interested in analytics and business intelligence.

Key Responsibilities

• Collect, clean, and analyze structured business data.
• Create dashboards and reports using Tableau or Power BI.
• Write SQL queries to extract and manage data.
• Identify trends, patterns, and business opportunities.
• Support marketing, finance, and product teams with insights.
• Prepare data visualizations and presentations for stakeholders.
• Monitor KPIs and business performance metrics.

Required Skills

• Knowledge of SQL, Excel, and data visualization tools.
• Basic understanding of Python or R for analytics.
• Strong analytical and problem-solving skills.
• Familiarity with databases and reporting tools.
• Good communication and teamwork abilities.

Preferred Qualifications

• Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, or Business Analytics.
• Internship or academic project experience in analytics.
• Experience with Tableau, Power BI, or Google Data Studio.
• Understanding of business intelligence concepts.

Benefits

• Hybrid and remote work options
• Health and wellness programs
• Paid training and certifications
• Career advancement opportunities
• Performance bonuses and retirement plans

Similar Career Profiles

• Business Analyst
• BI Analyst
• Reporting Analyst
• Financial Data Analyst
• Marketing Analyst
• Operations Analyst

Job Profile

Adobe is hiring AI Prompt Engineers to support generative AI tools used in creative design, automation, and digital content production. The role involves creating high-quality prompts, testing AI-generated outputs, and improving the performance of AI systems integrated into Adobe products.

This role is ideal for candidates interested in Generative AI, Prompt Engineering, NLP, and AI-powered creative tools.

Key Responsibilities

• Create and optimize prompts for generative AI models.
• Evaluate AI-generated text and image outputs.
• Improve AI response quality and user experience.
• Work with AI researchers, developers, and product teams.
• Develop prompt libraries and testing workflows.
• Analyze AI performance metrics and feedback.
• Support automation and creative AI projects.

Required Skills

• Strong communication and creative thinking skills.
• Basic understanding of AI and Machine Learning concepts.
• Familiarity with ChatGPT and generative AI platforms.
• Knowledge of NLP and prompt design techniques.
• Basic Python knowledge is beneficial.

Preferred Qualifications

• Bachelor’s degree in Computer Science, AI, Data Science, English, or related field.
• Experience with AI tools or content-generation systems.
• Understanding of Large Language Models (LLMs).
• Portfolio of AI-related or automation projects.

Benefits

• Hybrid/remote work options
• Health and wellness programs
• Paid learning and certification support
• Career growth in AI and creative technologies
• Performance incentives and bonuses

Similar Career Profiles

• Generative AI Specialist
• NLP Engineer
• AI Content Strategist
• Conversational AI Designer
• Machine Learning Associate

Job Profile

PayPal is seeking an AI & Data Analytics Associate to support business intelligence, fraud detection, customer analytics, and machine learning initiatives. The role involves working with large datasets, identifying trends, and assisting in the development of AI-powered solutions that improve customer experience and business operations.

This role is designed for candidates beginning their careers in Data Science, Analytics, or Artificial Intelligence.

Key Responsibilities

• Analyze structured and unstructured data from multiple sources.
• Assist in building AI and machine learning models.
• Generate reports, dashboards, and business insights.
• Support fraud detection and predictive analytics projects.
• Collaborate with engineering and product teams.
• Use SQL and Python for data extraction and analysis.
• Present analytical findings to business stakeholders.

Required Skills

• Basic to intermediate knowledge of Python and SQL.
• Understanding of Machine Learning concepts.
• Familiarity with Excel, Tableau, or Power BI.
• Strong analytical and problem-solving abilities.
• Good communication and teamwork skills.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field.
• Internship/project experience in analytics or AI.
• Knowledge of cloud platforms such as AWS or Azure is a plus.
• Understanding of APIs and data pipelines.

Employee Benefits

• Medical and health insurance
• Remote work flexibility
• Paid training programs
• Career growth opportunities
• Performance bonuses
• Paid vacation and holidays

Job Description

Fortinet is seeking an experienced DevSecOps Engineer to integrate security practices into the software development and deployment lifecycle. The ideal candidate will work closely with development, operations, and security teams to automate security controls, improve code security, and ensure secure cloud-native application delivery.

You will help build scalable and secure CI/CD pipelines while enabling fast, secure software releases across enterprise environments.

Key Responsibilities

✔ Integrate security tools and controls into CI/CD pipelines for continuous security testing

✔ Automate vulnerability scanning, secrets management, and compliance checks

✔ Implement DevSecOps best practices across development and cloud environments

✔ Secure containerized applications and orchestration platforms like Docker and Kubernetes

✔ Collaborate with developers to remediate code vulnerabilities and improve secure coding practices

✔ Use tools such as Jenkins, Terraform, Snyk, and SonarQube

✔ Monitor cloud security posture across Amazon Web Services, Microsoft Azure, and Google Cloud

✔ Support compliance and security governance requirements

Required Qualifications

✔ Bachelor’s degree in Cybersecurity, Computer Science, Software Engineering, or related field

✔ 4+ years of experience in DevOps, DevSecOps, or security engineering

✔ Strong experience with CI/CD pipelines, automation, and infrastructure as code

✔ Knowledge of cloud security, container security, and secure SDLC practices

✔ Experience with scripting (Python, Bash, or PowerShell)

✔ Strong troubleshooting and collaboration skills

Preferred Skills

✔ Certifications such as Certified Kubernetes Security Specialist (CKS), AWS Security Specialty, or Security+

✔ Experience with Zero Trust and policy-as-code frameworks

✔ Familiarity with compliance standards such as SOC 2 or ISO 27001

Benefits

✔ Competitive salary + performance bonus
✔ Health, dental, and vision insurance
✔ 401(k) with employer match
✔ Flexible remote work options
✔ Certification and training support
✔ Opportunity to secure modern cloud-native platforms

Job Description

Amazon is seeking a highly analytical Business Intelligence Analyst to transform complex business data into actionable insights that drive strategic decisions. In this role, you will work closely with business leaders, product teams, and data engineers to develop dashboards, automate reporting, and uncover trends that improve operational performance.

The ideal candidate has strong experience in data analysis, SQL, business intelligence tools, and stakeholder communication.

Key Responsibilities

✔ Analyze large datasets to identify business trends, customer behavior, and operational opportunities

✔ Develop interactive dashboards and reporting solutions using Tableau, Power BI, or internal BI tools

✔ Write advanced SQL queries to extract, transform, and validate business data

✔ Create automated data pipelines and reporting workflows

✔ Partner with cross-functional teams to define KPIs and performance metrics

✔ Deliver data-driven recommendations to improve business efficiency and customer experience

✔ Conduct ad hoc analysis and present findings to senior leadership

✔ Ensure data accuracy, consistency, and governance standards

Required Qualifications

✔ Bachelor’s degree in Data Analytics, Business, Statistics, Computer Science, or related field

✔ 3+ years of experience in business intelligence or data analyst roles

✔ Strong proficiency in SQL, Microsoft Excel, and data visualization tools

✔ Experience with Python or R for data analysis and automation

✔ Strong problem-solving and communication skills

✔ Ability to translate complex data into business insights

Preferred Skills

✔ Experience with cloud platforms such as Amazon Web Services

✔ Familiarity with ETL processes and data warehousing

✔ Knowledge of predictive analytics and statistical modeling

Benefits

✔ Competitive salary + performance bonus
✔ Health, dental, and vision insurance
✔ 401(k) with company match
✔ Paid vacation and holidays
✔ Career development opportunities
✔ Work on large-scale data-driven business initiatives

Job Description

Tesla is looking for a skilled Computer Vision Engineer to develop advanced AI-powered vision systems for autonomous driving, robotics, and intelligent automation. You will design and optimize machine learning models that process real-time image and video data to power next-generation smart systems.

The ideal candidate will have expertise in computer vision, deep learning, and real-time AI model deployment.

Key Responsibilities

✔ Design and develop computer vision algorithms for object detection, image classification, and video analysis

✔ Build and train deep learning models using PyTorch, TensorFlow, or OpenCV

✔ Optimize AI models for real-time inference and edge deployment

✔ Work with large-scale image and sensor datasets for model training and validation

✔ Collaborate with software engineers and research teams to integrate AI into production systems

✔ Improve model accuracy, performance, and scalability

✔ Research and implement cutting-edge advancements in computer vision and AI

✔ Ensure reliability, safety, and responsible AI practices

Required Qualifications

✔ Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or related field

✔ 3+ years of experience in computer vision or AI engineering

✔ Strong programming skills in Python and C++

✔ Hands-on experience with Deep Learning, CNNs, and image processing techniques

✔ Experience with tools such as OpenCV, TensorFlow, or PyTorch

✔ Knowledge of machine learning model optimization and deployment

Preferred Skills

✔ Experience with autonomous systems or robotics

✔ Familiarity with GPU acceleration and distributed training

✔ Knowledge of edge AI deployment and embedded systems

Benefits

✔ Competitive salary + performance bonus
✔ Health, dental, and vision insurance
✔ Stock options / equity benefits
✔ Paid time off and holidays
✔ Professional growth opportunities
✔ Work on world-class AI innovation

Job Description

IBM is seeking a skilled Penetration Tester (Ethical Hacker) to identify and assess security vulnerabilities across applications, networks, cloud environments, and enterprise systems. The ideal candidate will simulate real-world cyberattacks to uncover weaknesses before malicious actors can exploit them.

As a Penetration Tester, you will work closely with security teams, developers, and IT administrators to conduct security assessments, provide remediation recommendations, and strengthen overall cybersecurity defenses. This role requires strong technical expertise in ethical hacking, vulnerability assessment, and security testing methodologies.

Key Responsibilities

✔ Perform web application, network, and infrastructure penetration testing to identify security vulnerabilities.

✔ Conduct vulnerability assessments using automated and manual security testing techniques.

✔ Simulate cyberattacks to evaluate system security and exploit weaknesses ethically.

✔ Test security controls, authentication mechanisms, and access management systems.

✔ Perform cloud security assessments for AWS, Azure, and Google Cloud environments.

✔ Analyze source code and application security flaws (OWASP Top 10).

✔ Prepare detailed penetration testing reports with risk ratings and remediation recommendations.

✔ Collaborate with development and IT teams to resolve identified vulnerabilities.

✔ Support compliance requirements such as PCI-DSS, ISO 27001, HIPAA, and SOC 2.

✔ Stay updated on emerging cyber threats, hacking techniques, and security tools.

Required Skills & Qualifications

✔ Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or related field

✔ 3–5 years of experience in penetration testing or ethical hacking

✔ Strong knowledge of network security, web application security, and system vulnerabilities

✔ Experience with security tools such as Burp Suite, Metasploit, Nmap, Wireshark, Nessus, and Kali Linux

✔ Familiarity with OWASP Top 10 and secure coding practices

✔ Knowledge of Linux, Windows, and cloud security environments

✔ Programming/Scripting experience in Python, Bash, PowerShell, or JavaScript

✔ Strong analytical and problem-solving skills

Preferred Certifications

✔ CEH (Certified Ethical Hacker)
✔ OSCP (Offensive Security Certified Professional)
✔ CompTIA Security+
✔ CISSP (Preferred)

Benefits

✔ Competitive Salary
✔ Health, Dental & Vision Insurance
✔ Remote/Hybrid Work Opportunities
✔ Performance Bonuses
✔ Paid Time Off
✔ Professional Development & Certification Support
✔ 401(k) Retirement Plan

Job Description

CrowdStrike is seeking an AI Threat Detection Engineer to develop intelligent cybersecurity solutions that leverage artificial intelligence and machine learning to identify, analyze, and prevent advanced cyber threats. The role focuses on building scalable AI-driven detection systems to protect enterprise networks, cloud environments, and endpoint devices.

The ideal candidate will work with security researchers, data scientists, and engineering teams to improve automated threat detection, enhance incident response capabilities, and strengthen cybersecurity defenses through AI-powered analytics.

Key Responsibilities

✔ Design and develop AI-based threat detection models for identifying malware, ransomware, and suspicious activities.

✔ Build and optimize machine learning algorithms for anomaly detection and behavioral analytics.

✔ Analyze endpoint, network, and cloud security telemetry to detect emerging threats.

✔ Develop automated threat hunting and alerting pipelines.

✔ Collaborate with Security Operations Center (SOC) teams for rapid incident detection and response.

✔ Improve threat intelligence systems using predictive analytics and AI-driven insights.

✔ Research adversarial AI attacks and strengthen model resilience.

✔ Integrate AI solutions with SIEM, EDR, and cloud security platforms.

✔ Monitor and enhance the performance and accuracy of detection models.

✔ Ensure compliance with cybersecurity standards and best practices.

Required Skills & Qualifications

✔ Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Artificial Intelligence, or related field

✔ 3–5 years of experience in Cybersecurity, Threat Detection, or Machine Learning Engineering

✔ Strong programming skills in Python, Java, or C++

✔ Experience with Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)

✔ Knowledge of EDR and SIEM tools (CrowdStrike Falcon, Splunk, QRadar)

✔ Understanding of network security, malware analysis, and threat intelligence

✔ Experience with Cloud Security Platforms (AWS, Azure, GCP)

✔ Familiarity with automation tools and DevSecOps practices

✔ Strong analytical and problem-solving skills

Preferred Qualifications

✔ Experience in AI-driven cybersecurity products

✔ Security certifications such as Security+, CEH, CISSP, or GCIH

✔ Knowledge of Big Data security analytics

Benefits

✔ Competitive Salary
✔ Health, Dental & Vision Insurance
✔ Hybrid/Remote Work Opportunities
✔ Performance Bonuses
✔ Professional Development Programs
✔ Paid Time Off
✔ 401(k) Retirement Plan