AI-Powered Cybersecurity Specialist

1 week ago


India beBeeCybersecurity Full time ₹ 20,00,000 - ₹ 25,00,000

Machine Learning Engineer (Cybersecurity)

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We are seeking a seasoned Machine Learning Engineer to lead the development of AI-powered cybersecurity solutions. The ideal candidate will bring a strong background in machine learning and a practical understanding of the cybersecurity domain, particularly around threat intelligence, vulnerabilities, exploits, and configuration analysis.

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The successful candidate will be responsible for leading the fine-tuning and domain adaptation of open-source Large Language Models (LLMs) using frameworks like vLLM, HuggingFace, DeepSpeed, and PEFT techniques. They will also develop data pipelines to ingest, clean, and structure cybersecurity data, including threat intelligence reports, CVEs, exploits, malware analysis, and configuration files.

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Key Responsibilities include:

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  • 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.\
  • Foster collaboration across interdisciplinary teams to drive project success.\
  • Continuously evaluate and improve model performance and adapt to new technologies and methodologies.\
  • Contribute to the development of cutting-edge AI-powered cybersecurity solutions.\
  • Participate in code reviews and ensure high-quality, maintainable code.\
  • Maintain up-to-date knowledge of industry trends, best practices, and emerging technologies.\
  • Prioritize tasks effectively to meet deadlines and deliver results-oriented projects.\
  • Communicate complex technical concepts clearly and concisely to both technical and non-technical stakeholders.\
  • Work collaboratively with cross-functional teams, including software engineering, product management, and design.\
  • Ensure all work is done in accordance with company policies, procedures, and standards.\
  • Adhere to security protocols and guidelines to protect confidential information.\
  • Support and contribute to the growth and development of junior team members.\
  • Proactively identify areas for process improvement and implement changes as needed.\
  • Stay current with industry developments, research, and advancements in AI and cybersecurity.\
  • Engage in continuous learning and professional development to stay abreast of emerging trends and technologies.\
  • Participate in knowledge sharing and transfer within the organization.\
  • Collaborate with other teams to achieve common goals and objectives.\
  • Meet productivity and efficiency targets while maintaining high quality work standards.\
  • Perform additional responsibilities as assigned by management.\
  • Stay adaptable and flexible in a fast-paced environment.\


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