AI/ML Machine Learning Engineer (Cybersecurity)

Velox Solutions Pvt. Ltd.; Navi Mumbai; On-site; INR 700,000 - 1,200,000; Full time

Job summary

Velox Solutions Pvt. Ltd. is looking for a Machine Learning Engineer (Cybersecurity) in Navi Mumbai. You will design and deploy ML models for anomaly and threat detection, collaborating closely with cybersecurity teams.

The ideal candidate has strong programming skills in Python and R, along with a degree in Computer Science or similar. Experience with deep learning and the ELK Stack is essential.

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.

Responsibilities

• Develop and deploy ML models for threat detection and anomaly detection.
• Preprocess and analyze large-scale security data such as logs and network traffic.
• Integrate threat intelligence feeds and optimize real-time detection systems.

Skills

Python

R

TensorFlow

PyTorch

scikit-learn

deep learning

NLP

anomaly detection techniques

ELK Stack

Apache Kafka

Spark

Education

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

Tools

ML models

ELK Stack (Elasticsearch, Logstash, Kibana)

Job description

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

• 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