Network Intelligence Solutions Specialist
3 dni temu
Our organization provides cutting-edge, open, disaggregated networking and communications solutions that facilitate voice, data, video and internet communications across any network infrastructure.
We are seeking an exceptional Principal Machine Learning Engineer with expertise in the design and implementation of AI/ML-driven Network Intelligence Solutions. As part of our talented team, you will collaborate with engineers, data scientists, and subject matter experts to develop proof-of-concepts, investigate AI-driven insights, and define the next-generation of data intelligence products.
Key Responsibilities
- Develop AI/ML models for network traffic analysis, anomaly detection, and predictive maintenance.
- Implement real-time analytics for detecting cyber threats, QoS deviations, and performance bottlenecks.
- Optimize ML models for efficient processing in network environments.
- Create data pipelines for structured and unstructured networking data, including logs, telemetry, and packet flows.
- Enhance model accuracy and explainability through network-specific features.
- Work with big data platforms (Spark, Databricks, Kafka, Redshift) for scalable data processing.
- Deploy ML models in cloud (AWS) and edge computing environments for real-time processing.
- Improve AI-driven SDN (Software-Defined Networking) and NFV (Network Function Virtualization) solutions.
- Integrate ML pipelines with network monitoring tools (Wireshark, Prometheus, NetFlow, SNMP, OpenTelemetry).
- Stay updated with emerging AI/ML applications in networking (5G, Wi-Fi 6/7, SD-WAN, intent-based networking).
- Explore and implement new AI-driven approaches for network automation and self-healing networks.
- Collaborate with industry leaders, standards organizations (IEEE, IETF, BBF), and open-source communities.
- Optimize data pipelines and infrastructure to support high-performance ML workloads.
- Work closely with network engineers, cybersecurity teams, and cloud architects to develop ML-driven solutions.
- Provide technical guidance to product teams, ensuring ML solutions align with business objectives and network constraints.
- Contribute to technical documentation, whitepapers, and industry presentations on AI/ML in networking.
Qualifications
- A master's or PhD degree in Computer Science, Machine Learning, Networking, or a related field.
- At least eight years of experience in AI/ML development, with a focus on network analytics, automation, or cybersecurity.
- Strong programming skills like Python, TypeScript, C++ with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Expertise in networking technologies, including TCP/IP, SDN, NFV, BGP, MPLS, Wi-Fi, and network security protocols.
- Experience with big data processing and real-time analytics (Apache Spark, Kafka, Flink, Elasticsearch).
- Familiarity with AWS ML services.
- Hands-on experience with network monitoring and performance management tools (Wireshark, SNMP, NetFlow, OpenTelemetry).
- Strong problem-solving skills and ability to work with cross-functional teams.
- Excellent communication and technical documentation skills.
Advantages
- Stable employment conditions based on an employment contract.
- Additional vacation days.
- Flexible working hours and possible hybrid work.
- Internal training program to support your training needs.
- Paid employee referral program.
- Multisport Card.
- 3% employer contribution to PPK.
- Private Health Care at Medicover.
- Strong team-oriented and friendly work culture.
- Access to various sports activities and events.
- Modern office close to public transportation.
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