Chief Artificial Intelligence Strategist

24 hours ago

Coimbatore, Tamil Nadu, India beBeeCybersecurity Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Artificial Intelligence/Machine Learning Leader

We are seeking a highly experienced AI/ML leader to spearhead the development and implementation of advanced models that can understand, process, and generate insights across a wide range of cybersecurity content.

About This Role
  • Lead the fine-tuning and domain adaptation of open-source Large Language Models (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.
Requirements
  • 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.

Preferred Qualifications:

  • Advanced degree in computer science, mathematics, or related field.
  • Experience with cloud-based platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of DevOps practices and continuous integration/continuous delivery (CI/CD) pipelines.
Benefits
  • Competitive salary and benefits package.
  • Opportunities for career growth and professional development.
  • Collaborative and dynamic work environment.

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