ML Cybersecurity Expert

1 day ago


Surat, Gujarat, India beBeeMachine Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Cybersecurity Machine Learning Lead Role:

At the forefront of machine learning, we're seeking an experienced expert to drive innovation in model development and implementation across a wide range of cybersecurity content. This role requires a strong background in machine learning, a deep understanding of the cybersecurity domain, and excellent leadership skills.

We're looking for someone who can guide a team of ML engineers, collaborate closely with cybersecurity SMEs, data engineers, and DevOps, and ensure delivery of scalable, performant, and security-aware AI systems.

Key Responsibilities:

  • Develop and fine-tune Large Language Models (LLMs) using frameworks like vLLM, HuggingFace, DeepSpeed, and PEFT techniques.
  • Create 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.
  • Design and execute 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.
  • Excellent problem-solving skills and strong written & verbal communication.

What You'll Need:

  • Bachelor's degree in Computer Science, Mathematics, or related field.
  • Strong foundation in mathematics and statistics.
  • Ability to work in a fast-paced environment and adapt to changing project requirements.
  • Excellent communication and teamwork skills.
  • Results-oriented and detail-focused.

Why This Role Matters:

This role is critical to advancing our mission of leveraging machine learning to improve cybersecurity. If you're passionate about applying machine learning to real-world problems and driving innovation in the field, this is the ideal opportunity for you.

How to Apply:

To apply for this exciting opportunity, please submit your resume and cover letter outlining your relevant experience and qualifications.

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