We’re Hiring: Machine Learning Engineer (Cybersecurity)
Are you passionate about using AI & Machine Learning to combat cyber threats? Join our team and play a critical role in strengthening cybersecurity defenses through intelligent, data-driven solutions.
🔍 Job Summary
We are looking for an experienced Machine Learning Engineer (Cybersecurity) to design, develop, and deploy ML models for anomaly detection, malicious activity identification, and threat prevention. You’ll work closely with cybersecurity and SOC teams to build advanced AI-powered security systems.
🛠 Key Responsibilities
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Develop and deploy ML models for threat detection, anomaly detection, and intrusion prevention
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Preprocess and analyze large-scale security data such as logs, network traffic, and endpoint data
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Integrate threat intelligence feeds and optimize real-time detection systems
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Collaborate with SOC, Incident Response, and DevOps teams for seamless deployment
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Monitor and evaluate models using precision, recall, F1-score, and other metrics
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Research and apply advanced ML/AI techniques to address emerging cyber threats
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Manage ELK Stack (Elasticsearch, Logstash, Kibana) for data ingestion, analysis, and visualization
💡 Skills & Qualifications
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Strong proficiency in Python, R, TensorFlow, PyTorch, and scikit-learn
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Hands-on experience with deep learning, NLP, and anomaly detection techniques
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Working knowledge of ELK Stack, Apache Kafka, Spark, and big data platforms
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Familiarity with cybersecurity concepts such as APT, Zero-Day attacks, Malware, SIEM, SOAR
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Excellent analytical, problem-solving, and communication skills
🎓 Experience & Education
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Bachelor’s or Master’s degree in Computer Science, Data Science, or Cybersecurity
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Proven experience deploying ML models in production security environments
📩 How to Apply
Interested candidates can share their updated resume at:
📧 career@velox.co.in
Subject Line: Machine Learning Engineer (Cybersecurity)