Chief AI Architect

2 days ago

Malappuram, Kerala, India beBeeCybersecurity Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Senior Machine Learning Engineer - AI Cybersecurity

We're seeking a seasoned Senior Machine Learning Engineer to spearhead the development and implementation of cutting-edge AI systems for cybersecurity. Based in Chennai, this role will play a pivotal part in our mission to revolutionize global computer and network security.

As a key member of our team, you'll bring a wealth of experience in training and fine-tuning Large Language Models (LLMs) using frameworks like vLLM. Your strong background in machine learning and practical understanding of the cybersecurity domain will be invaluable in guiding our team's efforts.

Your primary responsibilities will include:

  • Leading the fine-tuning and domain adaptation of open-source LLMs using frameworks like vLLM, HuggingFace, DeepSpeed, and PEFT techniques.
  • Developing data pipelines to ingest, clean, and structure cybersecurity data, including threat intelligence reports, CVEs, exploits, malware analysis, and configuration files.
  • Collaborating with cybersecurity analysts to build taxonomy and structured knowledge representations to embed into LLMs.
  • Driving the design and execution of evaluation frameworks specific to cybersecurity tasks (e.g., classification, summarization, anomaly detection).
  • Overseeing the lifecycle of model development, including training, inference optimization, testing, and deployment.
  • Providing technical leadership and mentorship to a team of ML engineers and researchers.
  • Staying current with advances in LLM architectures, cybersecurity datasets, and AI-based threat detection.

To succeed in this role, you'll need:

  • A minimum of 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.

What We Offer

  • A dynamic work environment that fosters innovation and collaboration.
  • The opportunity to work on cutting-edge AI projects with real-world impact.
  • Professional growth and development opportunities.

Preferred Qualifications

  • Experience deploying models via vLLM in production environments with FastAPI or similar APIs.
  • Knowledge of cloud-based ML training (AWS/GCP/Azure) and GPU infrastructure.
  • Background in reverse engineering, malware analysis, red teaming, or threat hunting.
  • Publications, open-source contributions, or technical blogs in the intersection of AI and cybersecurity.

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