AI/ML Expert Lead

24 hours ago

Salem, Tamil Nadu, India beBeeCybersecurity Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: AI/ML Leader

We're looking for a skilled expert to spearhead the development and implementation of Large Language Models (LLMs) in cybersecurity applications.

The ideal candidate will bring a strong background in machine learning, particularly in training and fine-tuning LLMs like LLaMA 3. They should also have a practical understanding of the cybersecurity domain, especially around threat intelligence, vulnerabilities, exploits, and configuration analysis.

  • Key Responsibilities:
  • Lead the fine-tuning and domain adaptation of open-source LLMs using frameworks like vLLM, HuggingFace, DeepSpeed, and PEFT techniques.
  • Develop data pipelines to ingest, clean, and structure cybersecurity data, including threat intelligence reports, CVEs, exploits, malware analysis, and configuration files.
  • Collaborate with cybersecurity analysts to build taxonomy and structured knowledge representations to embed into LLMs.
  • Drive the design and execution of evaluation frameworks specific to cybersecurity tasks (e.g., classification, summarization, anomaly detection).
  • Own the lifecycle of model development, including training, inference optimization, testing, and deployment.
  • Provide technical leadership and mentorship to a team of ML engineers and researchers.
  • Stay current with advances in LLM architectures, cybersecurity datasets, and AI-based threat detection.
  • Advocate for ethical AI use and model robustness, especially given the sensitive nature of cybersecurity data.
Required Skills and Qualifications
  • 5+ years of experience in machine learning, with at least 2 years focused on LLM training or fine-tuning.
  • Strong experience with vLLM, HuggingFace Transformers, LoRA/QLoRA, and distributed training techniques.
  • Proven experience working with cybersecurity data—ideally including MITRE ATT&CK, CVE/NVD databases, YARA rules, Snort/Suricata rules, STIX/TAXII, or malware datasets.
  • Proficiency in Python, ML libraries (PyTorch, Transformers), and MLOps practices.
  • Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores like FAISS or Weaviate.
  • Demonstrated ability to lead projects and collaborate across interdisciplinary teams.
  • Excellent problem-solving skills and strong written & verbal communication.

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