Senior AI Engineer

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3 days ago

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COGNNA

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Cybersecurity • Artificial Intelligence • SaaS

COGNNA is an agentic SecOps and cybersecurity platform that uses AI-driven detection, autonomous triage, and automated response to unify security operations. It offers a cloud-delivered SaaS platform and Smart Managed SOC services (MSOC) for 24/7 monitoring, threat hunting, compliance automation, and incident containment, targeting enterprises, MSSPs, and regulated industries. COGNNA integrates asset discovery, high-fidelity detections, playbook-driven response, and audit-ready reporting to reduce alert noise, lower MTTR, and help organizations meet standards like SOC 2, PCI, HIPAA, NCA, and SAMA.

51 - 200 employees

Founded 2022

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Design, develop, and deploy machine learning models for threat detection, behavioral analytics, and automation. • Implement rigorous testing, monitoring, and continuous improvement pipelines to ensure reliable model performance in production. • Stay on top of the latest advancements in AI/ML, evaluating and adopting relevant technologies to keep our platform ahead of the curve. • Build and optimize data pipelines that handle large volumes of diverse security telemetry. • Ensure data quality, scalability, and availability for ML workflows across the COGNNA ecosystem. • Partner with platform engineers to integrate AI and data services seamlessly into production systems. • Lead projects end-to-end, from conception to production deployment. • Collaborate with cross-functional teams (security engineers, product managers, platform engineers) to deliver AI-powered solutions that meet real customer needs. • Communicate technical concepts and trade-offs clearly to both technical and non-technical stakeholders.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. • 5+ years of experience in AI/ML development and implementation, with a focus on cybersecurity applications. • Expertise in programming languages such as Python, Java, or R. • Extensive experience with machine learning frameworks like TensorFlow, PyTorch, and Scikit-Learn. • Solid understanding of deep learning architectures, reinforcement learning, and natural language processing. • Proven experience with data wrangling, feature selection, and model evaluation techniques. • Familiarity with cloud-based AI services (AWS, GCP, Azure) for scalable deployment of AI models. • Exceptional problem-solving and analytical skills with a passion for innovation. • Strong communication and collaboration skills, comfortable interfacing with technical and non-technical stakeholders.

🏖️ Benefits

• 💰 **Competitive Package** – Salary + equity options + performance incentives** • 🧘 **Flexible & Remote** – Work from anywhere with an outcomes-first culture** • 🤝 **Team of Experts** – Work with designers, engineers, and security pros solving real-world problems** • 🚀 **Growth-Focused** – Your ideas ship, your voice counts, your growth matters** • 🌍 **Global Impact** – Build products that protect critical systems and data