Senior Machine Learning Engineer - Cybersecurity

Hybrid in San Jose, CA, US • Posted 12 hours ago • Updated 12 hours ago
Contract W2
12 Months
No Travel Required
On-site
$80 - $120/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • PyTorch
  • Python
  • Cyber Security
  • Communication
  • Computer Science
  • Data Centers
  • Large Language Models (LLMs)
  • TensorFlow
  • Machine Learning (ML)

Summary

Senior Machine Learning Engineer -
Cybersecurity
San Jose, CA
Department: ML
Job Description
We are on the lookout for a Machine Learning Engineer with a specialized focus on
cybersecurity. The candidate should have a comprehensive understanding of the
evolving landscape of cyber threats and be equipped with the skills to develop AI-driven
solutions to these challenges. This role demands expertise in handling and mitigating
sophisticated cyber-attacks such as ransomware, as well as ensuring high-level security
in data centers and operational environments.
Key Responsibilities:
1. End 2 End Machine Learning Pipeline Development:
· Design and manage end-to-end machine learning pipelines tailored for cybersecurity
applications.
· Implement effective data preprocessing and feature engineering strategies specific to
cyber threat detection.
2. Expertise in LLMs, Transformers, and Frameworks:
· Utilize large language models and transformers to analyze and predict cybersecurity
threats.
· Proficient in frameworks like PyTorch and TensorFlow, applied in the context of
cybersecurity.
3. Specialized in Cyber Threat Detection and Mitigation:
· Develop AI-based solutions for the detection and prevention of ransomware and other
advanced cyber threats.· Implement BMC (Baseboard Management Controller) level security measures for data
center protection.
· Conduct machine learning-based behavioral analysis for routine operational
environments to detect anomalies and prevent intrusion.
4. Edge Computing for Cybersecurity Applications:
· Optimize cybersecurity-focused machine learning models for deployment on edge
devices.
· Address the unique challenges of implementing AI solutions in resource-constrained
environments.
5. Professional and Research Expertise in Cybersecurity and AI:
· Prefer candidates with experience in cybersecurity and AI, with the ability to turn
research into practical solutions.
· Actively engaging in research, staying abreast of the latest threats and technological
advancements in cybersecurity.
Qualifications
· 5+ years of experience in machine learning and cybersecurity.
· Bachelor''s or Master’s degree in Computer Science, Cybersecurity, Engineering, or a
related field with a focus on AI/ML.
· Strong programming skills in Python, with experience in relevant ML libraries and
frameworks.
· Demonstrated ability to solve complex problems and a commitment to innovation in
the field of cybersecurity.
· Excellent communication skills and the ability to work collaboratively in a team
environment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90838941
  • Position Id: 8998714
  • Posted 12 hours ago
Contact the job poster
RK

Raj Krishna

Recruiter @ QBurst
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