Job Description

We are seeking a detail-oriented AI Evaluation Specialist to evaluate, benchmark, and improve the performance of cutting-edge Artificial Intelligence systems, including Large Language Models (LLMs), Generative AI applications, AI agents, and multimodal models. This emerging role sits at the intersection of AI Quality Assurance, Data Analytics, Prompt Engineering, and Responsible AI. The ideal candidate will help ensure AI systems deliver accurate, safe, unbiased, and high-quality outputs while supporting continuous model improvement.

Key Responsibilities

• Evaluate AI-generated content for accuracy, relevance, coherence, safety, and factual correctness.
• Develop evaluation frameworks, scoring rubrics, and benchmark datasets for AI model assessment.
• Conduct prompt testing and adversarial testing to identify weaknesses and edge cases.
• Analyze model outputs to detect hallucinations, bias, toxicity, and performance gaps.
• Collaborate with AI Engineers and Data Scientists to improve model quality and user experience.
• Perform Human-in-the-Loop (HITL) reviews and provide structured feedback for model refinement.
• Design and execute A/B testing experiments for AI applications.
• Monitor production AI systems and track key performance metrics.
• Review training datasets and identify data quality issues.
• Support Responsible AI, AI Governance, and compliance initiatives.
• Create reports and recommendations for leadership and product teams.
• Stay current with emerging trends in Generative AI, Agentic AI, and AI evaluation methodologies.

Required Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Linguistics, Mathematics, Psychology, or a related field.
• 1–3 years of experience in AI evaluation, data annotation, quality assurance, machine learning operations, or content analysis.
• Strong analytical and critical-thinking skills.
• Excellent written communication and documentation abilities.
• Understanding of Generative AI, Machine Learning, and Large Language Models.
• Experience working with structured evaluation processes and quality standards.

Preferred Qualifications

• Experience with Prompt Engineering and LLM optimization.
• Familiarity with AI Safety, Responsible AI, and model governance practices.
• Knowledge of Python, SQL, and data visualization tools.
• Experience with AI benchmarking platforms and evaluation metrics.
• Exposure to Retrieval-Augmented Generation (RAG) systems and AI agents.
• Experience evaluating multilingual AI systems.

Technical Skills

• AI Model Evaluation
• Large Language Models (LLMs)
• Prompt Engineering
• Generative AI Testing
• AI Benchmarking
• Human-in-the-Loop (HITL) Evaluation
• Python
• SQL
• Data Analytics
• AI Safety & Governance
• Machine Learning Fundamentals
• Quality Assurance (QA)

Key Competencies

• Critical Thinking
• Attention to Detail
• Problem Solving
• Research & Analysis
• Communication Skills
• Decision Making
• Collaboration
• Ethical AI Awareness

Job Description

A Management Consultant helps organizations improve business performance, solve operational challenges, optimize processes, and develop growth strategies. The consultant works closely with executives and stakeholders to analyze business problems, identify opportunities, and implement solutions that drive efficiency, profitability, and long-term success.

Key Responsibilities

• Analyze business operations, processes, and organizational structures to identify improvement opportunities.
• Conduct market research, competitive analysis, and industry benchmarking.
• Develop strategic recommendations to improve efficiency, productivity, and profitability.
• Lead business transformation and change management initiatives.
• Assess organizational performance and recommend process improvements.
• Facilitate stakeholder meetings, workshops, and executive presentations.
• Create business cases, financial models, and implementation roadmaps.
• Support mergers, acquisitions, restructuring, and organizational development projects.
• Monitor project performance and ensure successful delivery of consulting engagements.
• Collaborate with cross-functional teams to implement strategic initiatives.
• Prepare detailed reports, dashboards, and executive-level presentations.
• Advise senior leadership on operational, financial, and strategic decisions.

Required Qualifications

• Bachelor's degree in Business Administration, Management, Finance, Economics, or a related field.
• 3+ years of experience in consulting, business analysis, project management, or corporate strategy.
• Strong analytical, problem-solving, and decision-making skills.
• Experience with data analysis and business performance metrics.
• Excellent communication, presentation, and stakeholder management abilities.
• Ability to manage multiple projects in a fast-paced environment.

Preferred Qualifications

• MBA or Master's degree in Business, Strategy, or Management.
• Experience with business transformation or digital transformation initiatives.
• Knowledge of Lean, Six Sigma, Agile, or Project Management methodologies.
• Consulting experience with Fortune 500 companies is preferred.

Technical Skills

• Strategic Planning
• Business Process Improvement
• Financial Analysis
• Data Analytics
• Market Research
• Change Management
• Risk Assessment
• Project Management
• Microsoft Excel
• Power BI / Tableau
• Business Intelligence Tools
• Stakeholder Management

Key Competencies

• Strategic Thinking
• Leadership
• Problem Solving
• Communication
• Negotiation
• Business Acumen
• Client Relationship Management
• Decision Making
• Adaptability

Job Description

A Wireless Network Engineer is responsible for designing, implementing, maintaining, and optimizing wireless network infrastructure to ensure reliable, secure, and high-performance connectivity across enterprise environments. This role focuses on Wi-Fi technologies, RF engineering, network security, troubleshooting, and wireless network scalability.

Key Responsibilities

• Design, deploy, and manage enterprise wireless networks and Wi-Fi infrastructure.
• Configure and maintain wireless access points (APs), controllers, and cloud-managed wireless solutions.
• Conduct RF site surveys and wireless coverage assessments.
• Optimize wireless network performance, capacity, and roaming capabilities.
• Monitor network health and troubleshoot connectivity, latency, and interference issues.
• Implement wireless security solutions, including WPA3, 802.1X authentication, and network access control (NAC).
• Collaborate with network, security, and infrastructure teams to support business requirements.
• Analyze wireless network traffic and identify performance bottlenecks.
• Support Wi-Fi 6, Wi-Fi 6E, and Wi-Fi 7 deployments.
• Create and maintain network diagrams, documentation, and technical reports.
• Ensure compliance with organizational security policies and industry standards.
• Provide technical support for wireless network incidents and escalations.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Network Engineering, or a related field.
• 3+ years of experience in wireless networking and infrastructure support.
• Strong understanding of IEEE 802.11 wireless standards.
• Knowledge of TCP/IP, DNS, DHCP, VLANs, VPNs, and routing protocols.
• Experience with wireless controllers and cloud-managed wireless solutions.
• Familiarity with RF spectrum analysis and wireless troubleshooting tools.

Preferred Certifications

• Cisco CCNA Enterprise
• Cisco CCNP Enterprise
• CWNA (Certified Wireless Network Administrator)
• CWNP (Certified Wireless Network Professional)
• Aruba Certified Mobility Associate (ACMA)

Technical Skills

• Wireless LAN (WLAN) Design
• RF Planning and Site Surveys
• Cisco Wireless Solutions
• Aruba Wireless Solutions
• Meraki Wireless Management
• Wi-Fi Security and Authentication
• Network Monitoring and Troubleshooting
• Spectrum Analysis Tools
• Network Automation Basics
• Wi-Fi 6/6E and Wi-Fi 7 Technologies

Job Description

We are seeking an experienced and innovative AI Product Manager to lead the strategy, development, and launch of AI-powered products and solutions. The ideal candidate will bridge the gap between business objectives, customer needs, data science teams, and engineering organizations to deliver impactful AI-driven experiences.

As an AI Product Manager, you will define product vision, prioritize features, manage product roadmaps, and ensure successful implementation of machine learning and generative AI technologies. You will work closely with AI engineers, data scientists, UX designers, and business stakeholders to build scalable and responsible AI solutions.

Key Responsibilities

• Define and execute product strategy for AI and machine learning initiatives.
• Develop and maintain product roadmaps aligned with business goals.
• Collaborate with AI engineers, data scientists, and software development teams to deliver AI-powered products.
• Gather and prioritize product requirements from customers, stakeholders, and market research.
• Identify opportunities to leverage Generative AI, Machine Learning, NLP, and predictive analytics.
• Lead the product lifecycle from concept, development, testing, launch, and optimization.
• Monitor product performance and key business metrics.
• Conduct competitive analysis and market research on AI trends.
• Work with legal, compliance, and security teams to ensure responsible AI practices.
• Communicate product vision and progress to executive leadership and stakeholders.
• Define success metrics and measure product impact.
• Support go-to-market strategies and product adoption initiatives.

Required Qualifications

• Bachelor's degree in Computer Science, Business Administration, Engineering, Data Science, or related field.
• 3+ years of Product Management experience.
• Experience working with AI, Machine Learning, Data Analytics, or Software products.
• Strong understanding of product development methodologies.
• Excellent communication, leadership, and stakeholder management skills.
• Ability to translate technical concepts into business value.

Preferred Qualifications

• Master's degree in Business Administration (MBA), Data Science, Artificial Intelligence, or related field.
• Experience with Generative AI, LLMs, and AI-powered applications.
• Knowledge of Agile, Scrum, and Product Lifecycle Management.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with data analytics tools and SQL.

Technical Skills

• Product Strategy & Roadmapping
• Artificial Intelligence
• Machine Learning
• Generative AI
• Large Language Models (LLMs)
• Agile & Scrum Methodologies
• Market Research
• Product Analytics
• SQL
• Data Visualization
• Cloud Platforms (AWS, Azure, GCP)
• Stakeholder Management
• Business Analysis

Benefits

• Competitive Salary
• Annual Performance Bonus
• Stock Options / RSUs
• Medical, Dental, and Vision Insurance
• Remote & Hybrid Work Options
• Professional Development Programs
• Employee Wellness Benefits
• Career Growth Opportunities

Job Description

We are seeking a highly motivated Blue Team Security Engineer to join our Cyber Defense team. The successful candidate will be responsible for protecting enterprise systems, networks, cloud environments, and digital assets from cyber threats. This role focuses on threat detection, incident response, security monitoring, and continuous improvement of defensive security capabilities.

The ideal candidate has experience with Security Operations Center (SOC) processes, threat hunting, incident response, security monitoring technologies, and vulnerability management. You will work closely with security analysts, incident responders, and IT teams to strengthen the organization's security posture and defend against evolving cyber threats.

Key Responsibilities

• Monitor and analyze security events using SIEM and endpoint detection platforms.
• Investigate suspicious activities, security alerts, and potential cyber incidents.
• Conduct proactive threat hunting to identify hidden threats and malicious activity.
• Develop and maintain threat detection rules and security use cases.
• Respond to cybersecurity incidents and coordinate containment, eradication, and recovery efforts.
• Analyze malware, phishing attacks, ransomware activity, and other cyber threats.
• Collaborate with Red Team members to improve security controls and detection capabilities.
• Perform vulnerability assessments and support remediation activities.
• Implement security best practices across network, cloud, and endpoint environments.
• Create incident reports and communicate findings to stakeholders.
• Assist in developing security playbooks, procedures, and response plans.
• Support compliance initiatives and security audits.
• Stay current with emerging cyber threats, attack techniques, and industry trends.

Required Qualifications

• Bachelor's degree in Cybersecurity, Information Security, Computer Science, or a related field.
• 3+ years of experience in cybersecurity operations, incident response, or security engineering.
• Experience with SIEM platforms such as Splunk, Microsoft Sentinel, QRadar, or Elastic.
• Knowledge of network security principles, firewalls, IDS/IPS, and endpoint protection technologies.
• Understanding of cyber threat intelligence and MITRE ATT&CK Framework.
• Experience with Windows, Linux, and cloud security environments.
• Strong analytical and problem-solving skills.
• Excellent communication and documentation abilities.

Preferred Qualifications

• Security certifications such as Security+, CySA+, GCIH, GCIA, CISSP, or CEH.
• Experience with EDR/XDR platforms such as CrowdStrike Falcon, Microsoft Defender, or SentinelOne.
• Knowledge of scripting languages including Python, PowerShell, or Bash.
• Familiarity with malware analysis and digital forensics.
• Experience in cloud platforms such as AWS, Azure, or Google Cloud.

Technical Skills

• Security Monitoring
• Threat Hunting
• Incident Response
• Vulnerability Management
• SIEM Administration
• Endpoint Detection & Response (EDR)
• Network Security
• Threat Intelligence
• Windows & Linux Security
• Cloud Security
• Python
• PowerShell
• MITRE ATT&CK
• Digital Forensics

Benefits

• Competitive Salary
• Annual Performance Bonus
• Health, Dental, and Vision Insurance
• Remote/Hybrid Work Flexibility
• Professional Certification Reimbursement
• Employee Wellness Programs
• Career Development Opportunities

Job Description

We are seeking a detail-oriented and analytical Healthcare Data Analyst to support data-driven decision-making within healthcare operations. The Healthcare Data Analyst will collect, analyze, interpret, and report healthcare data to improve patient outcomes, optimize operational efficiency, ensure regulatory compliance, and support strategic initiatives. The ideal candidate will possess strong analytical skills, experience with healthcare datasets, and the ability to translate complex data into actionable insights for clinical and business stakeholders.

Key Responsibilities

• Collect, clean, validate, and analyze healthcare data from multiple sources.
• Develop and maintain dashboards, reports, and data visualizations to monitor healthcare performance.
• Analyze patient care, clinical, financial, and operational data to identify trends and opportunities for improvement.
• Support quality improvement initiatives by measuring key healthcare performance indicators.
• Monitor healthcare metrics such as patient outcomes, readmission rates, length of stay, and patient satisfaction scores.
• Collaborate with physicians, nurses, administrators, and leadership teams to provide actionable insights.
• Prepare reports for regulatory compliance and accreditation requirements.
• Conduct statistical analyses to evaluate healthcare programs and initiatives.
• Identify data discrepancies and implement solutions to improve data quality.
• Support population health management and value-based care initiatives.
• Assist in forecasting, budgeting, and resource planning through data analysis.
• Present findings and recommendations to management and stakeholders.
• Ensure compliance with healthcare data privacy and security regulations.
• Maintain documentation of data processes, methodologies, and reporting standards.

Required Qualifications

• Bachelor's degree in Health Informatics, Healthcare Administration, Data Analytics, Statistics, Public Health, Computer Science, or a related field.
• 2+ years of experience in healthcare analytics, business analytics, or data analysis.
• Strong proficiency in SQL for data extraction and analysis.
• Advanced knowledge of Microsoft Excel.
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Understanding of healthcare databases, Electronic Health Records (EHR), and healthcare reporting systems.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and manage multiple projects.

Preferred Qualifications

• Master's degree in Health Informatics, Data Science, or a related field.
• Experience with healthcare analytics platforms.
• Knowledge of predictive analytics and machine learning techniques.
• Familiarity with healthcare regulations including HIPAA.
• Experience with Python, R, or SAS for advanced analytics.

Technical Skills

• SQL
• Microsoft Excel
• Power BI
• Tableau
• Python
• R Programming
• Healthcare Data Analytics
• Data Visualization
• Statistical Analysis
• Data Modeling
• Healthcare Reporting
• Database Management

Key Performance Indicators (KPIs)

• Patient Readmission Rate Analysis
• Patient Satisfaction Metrics
• Clinical Quality Measures
• Healthcare Cost Reduction Initiatives
• Data Accuracy and Integrity
• Operational Efficiency Improvements
• Regulatory Compliance Reporting
• Population Health Outcomes

Benefits

• Competitive Salary
• Health, Dental, and Vision Insurance
• Paid Time Off (PTO)
• Remote/Hybrid Work Options
• Professional Development Programs
• Tuition Assistance
• Employee Wellness Programs

Job Summary

We are seeking an ESG Data Analyst to support Environmental, Social, and Governance (ESG) reporting, sustainability initiatives, and regulatory compliance programs. The successful candidate will collect, analyze, validate, and interpret ESG-related data to help organizations meet sustainability goals, improve transparency, and comply with evolving ESG reporting requirements.

Job Description

The ESG Data Analyst will work closely with Sustainability, Risk, Compliance, Finance, and Corporate Governance teams to manage ESG datasets, develop performance metrics, prepare sustainability reports, and support ESG audits. This role is ideal for professionals interested in combining data analytics, sustainability, corporate responsibility, and regulatory compliance.

Key Responsibilities

• Collect, validate, and analyze ESG-related data from multiple business units.
• Develop ESG performance dashboards and reporting metrics.
• Monitor Environmental, Social, and Governance KPIs.
• Support sustainability reporting initiatives and disclosures.
• Conduct ESG risk assessments and trend analysis.
• Assist in carbon emissions and climate-related reporting.
• Prepare ESG reports for internal and external stakeholders.
• Ensure data quality, accuracy, and compliance with reporting standards.
• Collaborate with Sustainability, Compliance, and Risk Management teams.
• Support ESG audits and regulatory reporting requirements.
• Analyze diversity, equity, and inclusion (DEI) metrics.
• Monitor evolving ESG regulations and reporting frameworks.

Environmental Responsibilities

• Track greenhouse gas (GHG) emissions data.
• Analyze energy consumption and sustainability metrics.
• Support carbon footprint reduction initiatives.
• Monitor environmental compliance indicators.

Social Responsibilities

• Analyze workforce diversity and inclusion data.
• Measure employee engagement metrics.
• Monitor community impact initiatives.
• Track workplace health and safety performance.

Governance Responsibilities

• Support governance reporting and compliance efforts.
• Analyze board diversity and governance metrics.
• Monitor ethical and regulatory compliance indicators.
• Assist with governance risk assessments.

Required Qualifications

• Bachelor's degree in Data Analytics, Environmental Science, Sustainability, Business Analytics, Finance, Economics, or related field.
• 2+ years of experience in Data Analytics, ESG Reporting, Sustainability, Risk, or Compliance.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication abilities.

Preferred Qualifications

• Experience with ESG reporting frameworks.
• Knowledge of sustainability regulations and reporting standards.
• Experience in corporate sustainability programs.
• Familiarity with climate risk reporting requirements.

Technical Skills

• SQL
• Excel (Advanced)
• Power BI
• Tableau
• Python
• Data Visualization
• ESG Reporting Tools
• Data Quality Management
• Statistical Analysis
• Sustainability Analytics

ESG Framework Knowledge

• Global Reporting Initiative (GRI)
• Sustainability Accounting Standards Board (SASB)
• Task Force on Climate-related Financial Disclosures (TCFD)
• International Sustainability Standards Board (ISSB)

Preferred Certifications

• Certificate in ESG Investing
• Sustainability and Climate Risk (SCR) Certificate
• GRI Certified Sustainability Professional
• Certified ESG Analyst (CESGA)

Job Summary

We are seeking a detail-oriented and proactive Cyber GRC Analyst to support the organization's cybersecurity governance, risk management, and compliance initiatives. The ideal candidate will assist in identifying cyber risks, maintaining compliance with industry regulations and security frameworks, supporting audits, and helping strengthen the overall cybersecurity posture of the organization.

Job Description

The Cyber GRC Analyst serves as a key member of the Governance, Risk, and Compliance team, responsible for assessing cybersecurity risks, monitoring compliance requirements, developing security policies, and supporting audit activities. This role works closely with Information Security, IT, Legal, Internal Audit, and Business stakeholders to ensure security controls align with regulatory and business requirements.

Key Responsibilities

• Conduct cybersecurity risk assessments and risk analyses.
• Identify, document, and track security risks and mitigation plans.
• Support compliance efforts related to NIST, ISO 27001, SOC 2, PCI DSS, HIPAA, and other frameworks.
• Assist with internal and external security audits.
• Review and maintain cybersecurity policies, standards, and procedures.
• Monitor regulatory and compliance changes affecting cybersecurity programs.
• Maintain risk registers and compliance documentation.
• Track remediation activities and ensure timely closure of findings.
• Support third-party/vendor security assessments.
• Develop governance and compliance reports for management.
• Assist in control testing and security assessments.
• Collaborate with business units to ensure compliance requirements are met.
• Support cybersecurity awareness and policy training initiatives.

Required Qualifications

• Bachelor's degree in Cybersecurity, Information Technology, Information Security, Risk Management, or related field.
• 2–5 years of experience in Cybersecurity, Risk Management, Compliance, Audit, or Governance.
• Knowledge of cybersecurity frameworks and industry regulations.
• Strong analytical and documentation skills.
• Excellent communication and stakeholder management abilities.

Preferred Qualifications

• Experience with GRC platforms such as ServiceNow GRC, Archer, OneTrust, or MetricStream.
• Experience supporting SOC 2, ISO 27001, HIPAA, PCI DSS, or FedRAMP audits.
• Understanding of cloud security environments (AWS, Azure, GCP).
• Experience conducting vendor risk assessments.
• Familiarity with cybersecurity operations and security controls.

Key Responsibilities by Position Level

Junior Cyber GRC Analyst

• Perform compliance reviews.
• Update risk registers.
• Assist with audit preparation.
• Maintain security documentation.
• Support evidence collection activities.

Mid-Level Cyber GRC Analyst

• Lead risk assessments.
• Conduct control testing.
• Manage compliance initiatives.
• Support regulatory audits.
• Develop governance reports.

Senior Cyber GRC Analyst

• Lead enterprise risk management activities.
• Design governance frameworks.
• Advise leadership on cyber risk strategies.
• Manage audit and compliance programs.
• Oversee third-party risk management processes.

Technical Skills

• Risk Assessment & Risk Management
• Cybersecurity Governance
• Security Control Evaluation
• Audit Management
• Vendor Risk Management
• Compliance Monitoring
• Security Policy Development
• Microsoft Excel & Reporting Tools
• ServiceNow GRC
• NIST Cybersecurity Framework
• ISO 27001
• SOC 2
• PCI DSS
• HIPAA

Certifications Preferred

• Certified Information Systems Auditor (CISA)
• Certified in Risk and Information Systems Control (CRISC)
• Certified Information Security Manager (CISM)
• CompTIA Security+
• Certified in Governance of Enterprise IT (CGEIT)
• ISO 27001 Lead Auditor

Job Summary

We are seeking a highly motivated Ransomware Response Specialist to join our Cyber Incident Response team. The successful candidate will be responsible for investigating, containing, and responding to ransomware attacks affecting enterprise environments. This role requires expertise in incident response, digital forensics, malware analysis, threat hunting, and cybersecurity operations. The ideal candidate will work closely with clients, security teams, and executive stakeholders to minimize business disruption and strengthen cyber resilience.

Job Description

As a Ransomware Response Specialist, you will lead investigations into ransomware incidents, identify attack vectors, perform forensic analysis, coordinate containment and recovery efforts, and provide strategic recommendations to prevent future attacks. You will collaborate with Security Operations Centers (SOC), Threat Intelligence teams, and IT departments to ensure rapid and effective incident resolution.

Key Responsibilities

• Lead ransomware incident response engagements from detection through recovery.
• Investigate ransomware infections and determine root causes.
• Perform forensic analysis on compromised endpoints, servers, and cloud environments.
• Analyze attacker tactics, techniques, and procedures (TTPs).
• Identify indicators of compromise (IOCs) and recommend containment actions.
• Conduct threat hunting activities to uncover additional malicious activity.
• Coordinate with internal stakeholders and external clients during cyber incidents.
• Develop incident response reports and executive-level briefings.
• Assist organizations with system recovery and business continuity efforts.
• Recommend security improvements to reduce future ransomware risks.
• Support tabletop exercises and ransomware preparedness assessments.
• Maintain knowledge of emerging ransomware groups and threat landscapes.

Required Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or related field.
• 3+ years of experience in Incident Response, SOC Operations, or Digital Forensics.
• Strong understanding of ransomware attack methodologies.
• Experience with Windows, Linux, and Active Directory environments.
• Knowledge of SIEM, EDR, and threat detection tools.
• Familiarity with MITRE ATT&CK Framework.
• Excellent analytical and communication skills.

Preferred Qualifications

• Experience handling enterprise-scale cyber incidents.
• Knowledge of cloud security platforms (AWS, Azure, GCP).
• Familiarity with malware reverse engineering.
• Experience with forensic investigation tools.
• Understanding of cyber insurance and breach response processes.

Technical Skills

• Incident Response
• Digital Forensics
• Threat Hunting
• Malware Analysis
• SIEM Platforms (Splunk, QRadar, Sentinel)
• EDR Solutions (CrowdStrike, SentinelOne, Microsoft Defender)
• Active Directory Security
• Network Security
• Python or PowerShell
• MITRE ATT&CK Framework

Certifications Preferred

• GIAC Certified Incident Handler (GCIH)
• Certified Ethical Hacker (CEH)
• CompTIA Security+
• Certified Information Systems Security Professional (CISSP)
• GIAC Certified Forensic Analyst (GCFA)

Benefits

• Health, Dental, and Vision Insurance
• Remote Work Opportunities
• Performance Bonuses
• Cybersecurity Training Budget
• Certification Reimbursement
• Retirement Savings Plan (401k)
• Paid Time Off (PTO)
• Professional Development Programs

Job Description

Meta is seeking a highly motivated Data Scientist to join the Evaluations team within Meta Superintelligence Labs (MSL). This team plays a critical role in measuring and accelerating AI progress by developing evaluation frameworks, benchmarks, and methodologies for advanced AI systems and Large Language Models (LLMs).

As a Data Scientist, Evaluations, you will partner with AI researchers, machine learning engineers, and product teams to design metrics that assess model capabilities, safety, reliability, and performance. Your work will directly influence the development and deployment of next-generation AI technologies.

Key Responsibilities

• Design and develop evaluation frameworks for AI and Generative AI systems.
• Build quantitative metrics to assess model performance, accuracy, and safety.
• Analyze large-scale datasets and AI model outputs.
• Create benchmark datasets for testing and validation.
• Conduct statistical analyses to identify model strengths and weaknesses.
• Collaborate with AI researchers to improve evaluation methodologies.
• Develop dashboards and reporting tools to track model performance.
• Monitor trends in AI quality, fairness, and reliability.
• Support experimentation and A/B testing for AI products.
• Present insights and recommendations to technical and executive stakeholders.

Required Qualifications

• Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, Machine Learning, or a related field.
• 4+ years of experience in Data Science, Machine Learning, Analytics, or AI Evaluation.
• Strong knowledge of statistical modeling and experimental design.
• Experience working with large datasets.
• Proficiency in Python and SQL.
• Experience with machine learning and AI systems.
• Strong communication and presentation skills.

Preferred Qualifications

• Experience evaluating Large Language Models (LLMs).
• Knowledge of Generative AI systems.
• Familiarity with Reinforcement Learning from Human Feedback (RLHF).
• Experience with model benchmarking and AI safety evaluation.
• Background in machine learning research.
• Experience working with cloud platforms and distributed data systems.

Technical Skills

• Python
• SQL
• Machine Learning
• Data Science
• Statistics
• Experimental Design
• A/B Testing
• Generative AI
• Large Language Models (LLMs)
• Data Visualization
• Tableau / Power BI
• AI Benchmarking

Day-to-Day Activities

• Evaluate AI model responses across multiple tasks.
• Analyze performance metrics and identify improvement opportunities.
• Develop new benchmarks for measuring AI capabilities.
• Collaborate with research teams on evaluation experiments.
• Create reports and visualizations for stakeholders.
• Support the development of safer and more reliable AI systems.
• Investigate model failures and recommend improvements.

Benefits

• Competitive salary and performance bonuses.
• Health, dental, and vision insurance.
• Retirement savings plans.
• Paid time off and wellness programs.
• Professional development opportunities.
• Access to cutting-edge AI research and technology.

Job Description

DataAnnotation is seeking detail-oriented and analytical individuals to join our team as AI Trainers. In this role, you will help improve the performance, accuracy, and reliability of advanced Artificial Intelligence systems by evaluating AI-generated responses, providing feedback, and creating high-quality training data.

You will collaborate with AI researchers, machine learning engineers, and data teams to ensure AI models produce useful, accurate, and safe outputs. This position is ideal for candidates with strong critical-thinking, writing, research, and problem-solving skills.

Key Responsibilities

• Evaluate AI-generated content for accuracy, relevance, and quality.
• Compare multiple AI responses and identify the best output.
• Provide detailed feedback to improve model performance.
• Create and annotate training datasets for AI systems.
• Review chatbot conversations and recommend improvements.
• Test AI models across different use cases and scenarios.
• Follow quality assurance guidelines and project requirements.
• Document findings and maintain evaluation records.
• Assist in developing benchmarks and evaluation criteria.
• Collaborate with AI teams to improve model behavior.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, English, Business, Mathematics, or a related field (preferred but not always required).
• Strong written and verbal communication skills.
• Excellent analytical and problem-solving abilities.
• Ability to assess information critically and objectively.
• Familiarity with AI tools such as ChatGPT, Gemini, or Claude.
• Strong attention to detail.

Preferred Qualifications

• Experience with AI model evaluation or data annotation.
• Understanding of Generative AI and Large Language Models (LLMs).
• Knowledge of prompt engineering.
• Basic Python or SQL skills.
• Experience in content review, research, or quality assurance.

Technical Skills

• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Data Annotation
• Content Evaluation
• Research & Analysis
• Quality Assurance
• Microsoft Office / Google Workspace

Day-to-Day Activities

• Review AI-generated answers.
• Score responses based on predefined criteria.
• Identify factual errors and inconsistencies.
• Rewrite prompts and improve AI interactions.
• Label datasets for model training.
• Participate in quality review sessions.
• Submit feedback reports to project managers.

Benefits

• Remote work flexibility.
• Flexible working hours.
• Performance-based bonuses.
• Professional development opportunities.
• Exposure to cutting-edge AI technologies.
• Opportunity to work on real-world AI projects.

Job Description

CrowdStrike is seeking a highly skilled Red Team Operator to join its Offensive Security team. In this role, you will simulate sophisticated cyberattacks against enterprise environments to evaluate security controls, detection capabilities, and incident response processes. You will emulate real-world threat actors, identify security weaknesses, and provide actionable recommendations to strengthen the organization's security posture.

The ideal candidate has experience in adversary emulation, penetration testing, social engineering assessments, Active Directory exploitation, cloud security testing, and red team operations across complex environments.

Key Responsibilities

• Conduct advanced red team engagements against enterprise networks, cloud environments, and applications.
• Simulate tactics, techniques, and procedures (TTPs) used by real-world threat actors.
• Perform phishing and social engineering campaigns to evaluate organizational resilience.
• Assess Active Directory security and privilege escalation paths.
• Execute internal and external penetration testing activities.
• Develop custom attack tools, scripts, and payloads.
• Collaborate with Blue Team and Security Operations teams to improve detection and response capabilities.
• Document findings and present executive-level reports.
• Conduct threat emulation exercises aligned with the MITRE ATT&CK framework.
• Identify vulnerabilities and recommend remediation strategies.

Required Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field.
• 3+ years of experience in offensive security, red teaming, or penetration testing.
• Strong understanding of Windows, Linux, and Active Directory environments.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of common attack frameworks and methodologies.
• Experience with scripting languages such as Python, PowerShell, or Bash.
• Excellent analytical and communication skills.

Preferred Certifications

• Offensive Security Certified Professional (OSCP)
• OSWE
• OSEP
• CRTO
• GIAC Penetration Tester (GPEN)
• Certified Ethical Hacker (CEH)

Technical Skills

• Penetration Testing
• Red Team Operations
• Active Directory Security
• MITRE ATT&CK
• Cobalt Strike
• Burp Suite
• Metasploit
• BloodHound
• PowerShell
• Python
• Cloud Security
• Threat Emulation

Benefits

• Competitive salary and annual bonus.
• Remote work flexibility.
• Health, dental, and vision insurance.
• Professional development and certification reimbursement.
• Paid time off and wellness programs.

Job Description

We are seeking an experienced Data Analytics Manager to lead our analytics team and drive data-informed decision-making across the organization. The ideal candidate will oversee analytics initiatives, develop reporting strategies, manage data professionals, and collaborate with business stakeholders to deliver actionable insights that support company growth and operational excellence.

As a Data Analytics Manager, you will play a critical role in transforming complex data into strategic business recommendations, ensuring data quality, and promoting a culture of analytics throughout the organization.

Key Responsibilities

• Lead and manage a team of Data Analysts, Business Intelligence Analysts, and Analytics Engineers.
• Develop and execute the organization's analytics strategy aligned with business objectives.
• Define, track, and optimize key performance indicators (KPIs) across departments.
• Collaborate with business leaders to identify analytical opportunities and business challenges.
• Design and maintain executive dashboards, reports, and business intelligence solutions.
• Oversee data collection, validation, governance, and reporting processes.
• Translate complex datasets into actionable business insights and recommendations.
• Manage multiple analytics projects while ensuring timely delivery and high-quality results.
• Partner with Data Engineering teams to improve data infrastructure and accessibility.
• Present findings and strategic recommendations to executive leadership.
• Establish best practices for analytics, reporting, and data visualization.
• Monitor emerging analytics technologies and recommend innovative solutions.

Required Qualifications

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, or a related field.
• 7+ years of experience in Data Analytics, Business Intelligence, or Data Science.
• 3+ years of experience leading analytics teams.
• Strong expertise in SQL and data querying.
• Experience with data visualization tools such as Power BI or Tableau.
• Proficiency in Python or R for data analysis.
• Experience with cloud platforms and modern data warehouses.
• Strong project management and stakeholder communication skills.
• Excellent analytical and problem-solving abilities.

Preferred Qualifications

• Master's degree in Analytics, Data Science, Business Administration, or a related field.
• Experience with machine learning and predictive analytics.
• Knowledge of data governance and data quality frameworks.
• Experience working with large-scale enterprise datasets.
• Relevant analytics or cloud certifications.

Technical Skills

• SQL
• Python
• Data Modeling
• Statistical Analysis
• Data Visualization
• Business Intelligence
• Dashboard Development
• Data Governance
• Predictive Analytics
• KPI Reporting
• Cloud Data Platforms
• ETL Processes

Benefits

• Competitive Salary
• Annual Performance Bonus
• Health, Dental, and Vision Insurance
• Flexible Work Arrangements
• Professional Development Programs
• Employee Wellness Initiatives
• Career Growth Opportunities

Job Description

We are seeking a highly motivated Prompt Engineer to join our Artificial Intelligence team. The ideal candidate will design, test, optimize, and manage prompts for Large Language Models (LLMs) and Generative AI applications. This role involves working closely with AI Engineers, Product Managers, Data Scientists, and Business Stakeholders to improve AI-generated responses, automate workflows, and enhance user experiences.

The successful candidate will have a strong understanding of Generative AI technologies, prompt engineering techniques, natural language processing concepts, and AI model behavior. They will play a critical role in developing reliable, accurate, and scalable AI-powered solutions across multiple business functions.

Key Responsibilities

• Design, develop, and optimize prompts for Large Language Models (LLMs).
• Evaluate AI-generated outputs for accuracy, consistency, relevance, and safety.
• Create prompt libraries, templates, and reusable frameworks for various business use cases.
• Develop and maintain prompt engineering best practices and documentation.
• Collaborate with AI Engineers and Data Scientists to improve model performance.
• Conduct prompt testing, experimentation, and A/B evaluations.
• Identify and mitigate AI hallucinations, bias, and response quality issues.
• Support the development of AI chatbots, virtual assistants, content generation tools, and workflow automation systems.
• Monitor prompt effectiveness and continuously improve output quality.
• Stay current with advancements in Generative AI, LLMs, and emerging AI technologies.
• Assist in fine-tuning AI models and implementing Retrieval-Augmented Generation (RAG) workflows.
• Work with stakeholders to translate business requirements into effective AI interactions.

Required Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Linguistics, Information Technology, or a related field.
• 2+ years of experience working with Generative AI, NLP, content strategy, or AI applications.
• Strong understanding of Large Language Models (LLMs) and Generative AI technologies.
• Experience with prompt design, prompt optimization, and AI testing methodologies.
• Knowledge of Natural Language Processing (NLP) concepts and language model behavior.
• Excellent analytical, problem-solving, and communication skills.
• Ability to evaluate and improve AI-generated outputs.
• Experience working in cross-functional technical teams.

Preferred Qualifications

• Experience with Retrieval-Augmented Generation (RAG) systems.
• Knowledge of AI model fine-tuning and evaluation frameworks.
• Experience with conversational AI and chatbot development.
• Familiarity with AI safety, responsible AI, and governance principles.
• Experience working with APIs and AI application development.
• Master's degree in AI, Computer Science, Data Science, or a related field.

Technical Skills

• Prompt Engineering
• Large Language Models (LLMs)
• Generative AI
• Natural Language Processing (NLP)
• AI Model Evaluation
• Python
• API Integration
• Retrieval-Augmented Generation (RAG)
• AI Testing & Validation
• Data Analysis
• Documentation & Knowledge Management

Preferred Tools & Technologies

• OpenAI API
• LangChain
• LlamaIndex
• Python
• Jupyter Notebook
• GitHub
• Vector Databases (Pinecone, Weaviate, Chroma)
• Prompt Evaluation Frameworks

Benefits

• Competitive Salary
• Performance-Based Bonus
• Medical, Dental, and Vision Insurance
• Flexible Work Schedule
• Remote Work Opportunities
• Paid Time Off (PTO)
• Professional Development & AI Certifications
• Career Growth Opportunities
• Employee Wellness Programs

Job Description

We are seeking a highly skilled Digital Forensics Analyst to join our Cybersecurity team. The ideal candidate will be responsible for conducting digital forensic investigations, analyzing cyber incidents, collecting and preserving digital evidence, and supporting incident response activities. This role requires expertise in forensic methodologies, evidence handling, malware analysis, and cybersecurity investigations.

The Digital Forensics Analyst will work closely with Security Operations, Incident Response, Legal, Compliance, and IT teams to investigate security breaches, insider threats, fraud cases, and other cyber incidents while maintaining the integrity of digital evidence.

Key Responsibilities

• Conduct digital forensic investigations involving cyber incidents, data breaches, insider threats, and unauthorized system access.
• Collect, preserve, and analyze digital evidence from computers, mobile devices, servers, cloud environments, and network systems.
• Perform forensic imaging and data acquisition using industry-standard forensic tools.
• Investigate security incidents and determine root causes, attack methods, and affected assets.
• Analyze system logs, network traffic, memory dumps, and file systems to identify indicators of compromise (IOCs).
• Support Incident Response teams during active cybersecurity investigations.
• Prepare detailed forensic reports and technical documentation for management, legal teams, and regulatory requirements.
• Maintain chain-of-custody documentation and ensure evidence integrity throughout investigations.
• Conduct malware analysis and support threat intelligence activities.
• Collaborate with law enforcement, legal teams, compliance officers, and internal stakeholders when required.
• Assist with eDiscovery, litigation support, and regulatory investigations.
• Stay current with emerging cyber threats, forensic technologies, and industry best practices.

Required Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Security, Digital Forensics, or a related field.
• 3+ years of experience in Digital Forensics, Incident Response, or Cybersecurity Operations.
• Strong knowledge of forensic investigation methodologies and evidence handling procedures.
• Experience analyzing Windows, Linux, and macOS operating systems.
• Familiarity with network protocols, system logs, and security event analysis.
• Experience with malware analysis and threat investigation.
• Strong analytical, problem-solving, and report-writing skills.
• Ability to manage multiple investigations simultaneously.

Preferred Qualifications

• Master's degree in Cybersecurity, Digital Forensics, or Information Assurance.
• Experience with cloud forensics in AWS, Azure, or Google Cloud environments.
• Knowledge of eDiscovery and legal investigation processes.
• Experience supporting regulatory compliance investigations.
• Familiarity with reverse engineering and advanced malware analysis.

Technical Skills

• Digital Forensics
• Incident Response
• Malware Analysis
• Threat Hunting
• Evidence Collection & Preservation
• Memory Forensics
• Network Forensics
• Log Analysis
• File System Analysis
• Cyber Threat Investigation
• Cloud Forensics
• Report Writing & Documentation

Preferred Tools & Technologies

• EnCase
• FTK
• Autopsy
• Volatility
• Wireshark
• Splunk
• Microsoft Defender XDR
• AWS, Azure, and Google Cloud Security Tools

Preferred Certifications

• GIAC Certified Forensic Analyst (GCFA)
• GIAC Certified Incident Handler (GCIH)
• Certified Ethical Hacker (CEH)
• Computer Hacking Forensic Investigator (CHFI)
• CompTIA Security+

Benefits

• Competitive Salary
• Annual Performance Bonus
• Medical, Dental, and Vision Insurance
• Paid Time Off (PTO)
• Flexible Work Arrangements
• Remote Work Opportunities
• Professional Certification Reimbursement
• Career Development Programs
• Employee Wellness Programs