Senior Cybersecurity AI Solutions Engineer

Responsibilities

• ​Cybersecurity AI solutions engineering in digital twin env: architect, design deploy, and evaluate AI Security partners software within virtual environment frameworks. analyse, and test security products under simulated real-world datacentre workloads.
• AI Model Setup & support Fine-Tuning tasks: AI Infrastructure sizing & setup configure and maintain infrastructure optimized for large language models and security analytics tools. deploy, optimize, and fine-tune NVIDIA Nemotron models for specialized cybersecurity tasks (e.g., threat detection, log analysis, automated…
• Dataset Management: curate, preprocess, and manage support training -evaluation datasets sourced from simulated data & telemetry
• Infrastructure & DevOps Automation : CI/CD & pipeline management , build automated testing pipelines to streamline product deployment, validation runs, and benchmarking reports.
• What we need to see
• B.Sc. in Computer Science / Electrical Engineering or equivalent experience
• At least 5 years of proven experience including hands-on experience deploying and fine-tuning Open/LLM models
• ​Familiarity with AI/ML frameworks (PyTorch, NeMo, Hugging Face) and GPU acceleration libraries (CUDA, TensorRT)
• Experience serving open models with vLLM, Hugging Face Transformers, TGI, llama similar frameworks. Inference libraries like DeepSpeed
• Experience in a DevOps role -CI/CD Tools: GitLab CI, GitHub , Gerrit or Jenkins

Languages