Careers

We’re growing — and we want you to grow with us! 

If you love solving tough problems, learning on the fly, and thrive in a fast-paced environment, we’d love to hear from you. 

Check out our open roles below or drop us an email with your resume. 

AI Auditor

Job Summary

We are seeking an analytical and ethically-minded AI Auditor to join our team. In this role, you will be responsible for evaluating our AI models and machine learning pipelines to ensure they meet the highest standards of fairness, accountability, transparency, and regulatory compliance. You will bridge the gap between technical data science teams and legal/compliance frameworks, identifying algorithmic biases, security vulnerabilities, and operational risks before systems go live.

Key Responsibilities

• Bias & Fairness Testing: Audit training datasets and machine learning models to detect and mitigate demographic bias, discrimination, or algorithmic unfairness.

• Compliance & Governance: Ensure all AI initiatives align with emerging global regulations (such as the EU AI Act, FTC guidelines, and NIST frameworks).

• Risk Assessment: Conduct comprehensive risk assessments on AI system performance, data privacy protocols, and potential security vulnerabilities (e.g., adversarial attacks).

• Model Explainability: Verify that AI decision-making processes are transparent and explainable to non-technical stakeholders and regulatory bodies.

• Reporting & Recommendations: Draft detailed audit reports outlining vulnerabilities, and collaborate with Data Science and Engineering teams to implement corrective actions.

• Continuous Monitoring: Establish frameworks for the ongoing monitoring of deployed models to prevent "model drift" and ensure long-term reliability.

Required Qualifications & Skills

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Ethics in Technology, or a related field.

• Technical Expertise: Strong understanding of machine learning algorithms, deep learning, and NLP frameworks. Proficiency in Python and familiarity with AI fairness toolkits (e.g., AIF360, Fairlearn, SHAP, LIME).

• Regulatory Knowledge: Deep understanding of data privacy laws (GDPR, CCPA) and AI-specific governance frameworks (NIST AI RMF, ISO/IEC 42001).

• Analytical Mindset: Exceptional problem-solving skills with the ability to question assumptions and rigorously test complex, "black-box" systems.

• Communication: Ability to translate complex technical risks into clear, actionable business insights for executives and legal teams.

Preferred Certifications

• Certifications in Data Privacy (CIPP) or Information Systems Auditing (CISA)

AI Technician

Job Summary

We are looking for a detail-oriented AI Technician to support the deployment, monitoring, and maintenance of our artificial intelligence and machine learning models. In this role, you will be responsible for the day-to-day operational health of our AI systems. You will clean and prepare massive datasets, configure computing environments (GPU/cloud clusters), execute model training scripts, and ensure that our live AI applications run smoothly and efficiently.

Key Responsibilities

• Data Pipeline Management: Gather, label, organize, and preprocess raw data to ensure high-quality inputs for AI model training.

• Environment Setup & Maintenance: Configure, deploy, and maintain local and cloud-based hardware environments (e.g., AWS, Azure, Google Cloud, NVIDIA Docker) optimized for machine learning workloads.

• Model Training & Execution: Run pre-written training and fine-tuning scripts, track training metrics, and flag anomalies or failures during execution.

• System Monitoring & Troubleshooting: Actively monitor deployed AI models for latency, resource usage (CPU/GPU), and performance drift. Troubleshoot and resolve basic software or infrastructure bottlenecks.

• Model Versioning & Deployment: Assist in deploying validated models into production environments using MLOps tools and maintaining clear version controls.

• Documentation: Keep detailed logs of data configurations, training runs, system dependencies, and operational workflows.

Required Qualifications & Skills

• Education/Experience: Associate’s or Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or equivalent hands-on experience/bootcamp certification.

• Technical Proficiency: Strong foundational skills in Python and familiarity with basic SQL. Comfort working within Linux/Unix terminal environments.

• AI/ML Familiarity: Basic understanding of machine learning concepts and frameworks (e.g., PyTorch, TensorFlow, or Hugging Face Transformers).

• Infrastructure Knowledge: Experience with Docker containers and cloud infrastructure basics (AWS, GCP, or Azure).

• Attention to Detail: High precision in data handling, annotation quality control, and system log analysis.

Preferred Qualifications

• Experience with MLOps tracking tools (e.g., Weights & Biases, MLflow).

• Experience handling hardware/GPU cluster acceleration (CUDA configurations).

Ready for your next big opportunity?  

Reach out to us at careers@cybexaigrc.com