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Key Responsibilities
- AI/ML Engineering
- 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.
- Data Engineering
- 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.
- Leadership & Collaboration
- 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.
- Strong expertise in machine learning engineering (model development, deployment, monitoring).
- Solid foundation in data engineering (ETL/ELT pipelines, distributed systems, data storage/streaming).
- Hands-on experience with cloud platforms, MLOps tools, and modern data stacks.
- A "startup mindset": you're resourceful, comfortable wearing multiple hats, and willing to get into the details.
- Passion for tackling complex cybersecurity challenges with AI.
At COGNNA, you'll be part of a small, innovative team where your work directly shapes the product and the company's future. You'll have the freedom (and responsibility) to design, build, and ship impactful AI solutions that help security teams defend against evolving threats.
If you want to push the boundaries of AI in cybersecurity, thrive in a collaborative and fast-moving environment, and enjoy the grind of building something that matters, then we'd love to hear from you!
Take the next step in your AI engineering career and apply today!
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
- A commitment to continuous learning and curiosity about emerging AI technologies
- A team-oriented mindset with a drive to mentor and grow fellow team members
- A result-oriented approach to solving real-world problems through technology
💰 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
Key Skills
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