Key Responsibilities

Develop and deploy ML models for threat detection, anomaly detection, and intrusion prevention

Preprocess and analyze large-scale security data such as logs, network traffic, and endpoint data

Integrate threat intelligence feeds and optimize real-time detection systems

Collaborate with SOC, Incident Response, and DevOps teams for seamless deployment

Monitor and evaluate models using precision, recall, F1-score , and other metrics

Research and apply advanced ML/AI techniques to address emerging cyber threats

Manage ELK Stack (Elasticsearch, Logstash, Kibana) for data ingestion, analysis, and visualization

Skills Qualifications

Strong proficiency in Python, R, TensorFlow, PyTorch, and scikit-learn

Hands-on experience with deep learning, NLP, and anomaly detection techniques

Working knowledge of ELK Stack, Apache Kafka, Spark, and big data platforms

Familiarity with cybersecurity concepts such as APT, Zero-Day attacks, Malware, SIEM, SOAR

Excellent analytical, problem-solving, and communication skills

Experience Education

Bachelor s or Master s degree in Computer Science, Data Science, or Cybersecurity

Proven experience deploying ML models in production security environments

AI/ML Machine Learning Engineer

Job Description