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Cyber Security AI Architect

1 tydzień temu

Gdańsk, Pomerania, Polska Cyber Crime Pełny etat
Cyber Crime

Our company is a leading global provider of open, disaggregated networking and communications solutions that enable voice, data, video and internet communications across any network infrastructure.

We seek an outstanding Principal Machine Learning Engineer with the role of a Subject Matter Expert to work on the execution of ML/AI-driven Network Intelligence Solutions. You will collaborate with a highly skilled team of engineers, data scientists and subject matter experts to develop proof-of-concepts, explore AI-driven insights, and define next generation of data intelligence products.

Responsibilities

  1. Design and develop AI/ML models for network traffic analysis, anomaly detection, and predictive maintenance.
  2. Implement real-time analytics for detecting cyber threats, QoS deviations, and performance bottlenecks.
  3. Optimize ML models for low-latency, high-throughput processing in network environments.
  4. Build data pipelines for structured and unstructured networking data, including logs, telemetry, and packet flows.
  5. Engineer network-specific features to improve model accuracy and explainability.
  6. Work with big data platforms (Apache Spark, Databricks, Kafka, Redshift) for scalable data processing.
  7. Deploy ML models in cloud (AWS) and edge computing environments for real-time processing.
  8. Optimize AI-driven SDN (Software-Defined Networking) and NFV (Network Function Virtualization) solutions.
  9. Integrate ML pipelines with network monitoring tools (Wireshark, Prometheus, NetFlow, SNMP, OpenTelemetry).
  10. Stay up to date with emerging AI/ML applications in networking (5G, Wi-Fi 6/7, SD-WAN, intent-based networking).
  11. Explore and implement new AI-driven approaches for network automation and self-healing networks.
  12. Collaborate with industry leaders, standards organizations (IEEE, IETF, BBF), and open-source communities.
  13. Optimize data pipelines and infrastructure to support high-performance ML workloads.
  14. Work closely with network engineers, cybersecurity teams, and cloud architects to develop ML-driven solutions.
  15. Provide technical guidance to product teams, ensuring ML solutions align with business objectives and network constraints.
  16. Contribute to technical documentation, whitepapers, and industry presentations on AI/ML in networking.

Basic Qualifications

  1. A master's or PhD degree in Computer Science, Machine Learning, Networking, or a related field.
  2. No less than eight years of experience in AI/ML development, with a focus on network analytics, automation, or cybersecurity.
  3. Strong programming skills such as Python, TypeScript, C++ with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  4. Expertise in networking technologies, including TCP/IP, SDN, NFV, BGP, MPLS, Wi-Fi, and network security protocols.
  5. Experience with big data processing and real-time analytics (Apache Spark, Kafka, Flink, Elasticsearch).
  6. Familiarity with AWS ML services.
  7. Hands-on experience with network monitoring and performance management tools (Wireshark, SNMP, NetFlow, OpenTelemetry).
  8. Strong problem-solving skills and ability to work with cross-functional teams.
  9. Excellent communication and technical documentation skills.

Preferred Qualifications

  1. Experience developing AI-driven SDN, self-healing networks, or intent-based networking solutions.
  2. Knowledge of AI/ML applications in 5G, Wi-Fi 6/7, and next-gen networking.
  3. Experience with Edge AI, federated learning, and distributed AI models for networking.
  4. Familiarity with network cybersecurity (intrusion detection, threat intelligence, Zero Trust architectures).
  5. Hands-on experience with network automation frameworks (Ansible, Terraform).
  6. Cisco DNA, Juniper Apstra is a plus.
  7. Contributions to network AI/ML research, publications, patents, or open-source projects.
  8. Experience working in multi-cloud and hybrid networking environments.

Benefits

  1. Stable employment conditions based on an employment contract.
  2. Additional vacation days.
  3. Flexible working hours and possible hybrid work.
  4. Internal training program to support your training needs.
  5. Paid employee referral program.
  6. Multisport Card.
  7. 3% employer contribution to PPK.
  8. Private Health Care at Medicover.
  9. Strong team-oriented and friendly work culture.
  10. Access to various sports activities and events.
  11. Modern office close to public transportation.