AI/ML Machine Learning Engineer

V2 Solutions; Hinoba-an; On-site; PHP 420,000 - 780,000; Full time

Job summary

V2 Solutions in Negros Occidental, Hinoba-an, is seeking a skilled ML Engineer to develop and deploy models for threat and anomaly detection. The role involves preprocessing security data, integrating threat feeds, and collaborating with SOC, IR, and DevOps for seamless deployment.

candidate will apply advanced ML/AI techniques, monitor models with relevant metrics, and manage ELK Stack to enable real-time analysis and visualization.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or Cybersecurity.
• Proven experience deploying ML models in production security environments.
• Strong Python/R and ML framework experience.

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 for data ingestion, analysis, and visualization.

Skills

Python

R

TensorFlow

PyTorch

scikit-learn

Deep learning

NLP

Anomaly detection

Excellent communication

Education

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

Tools

ELK Stack

Apache Kafka

Spark

Job description

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