Job Description

Job Information


Date Opened


01/29/2026
Job Type


Part time
Work Experience


Fresher
State/Province


Maharashtra
Industry


Technology
City


Mumbai
Country


India
Zip/Postal Code


400059

What you will do for Sectona

We are looking for an AI Intern - Product Engineering to work on AI-driven capabilities for an enterprise cybersecurity platform. The intern will collaborate with engineering and product teams to design, develop and test intelligent features that enhance security monitoring, threat detection, risk analysis and automation.

Key Responsibilities

Assist in designing, developing and testing

machine learning models

for cybersecurity use cases such as Intrusion detection, Phishing detection, Anomalous access behaviour detection. Analyse large and complex datasets including Security and authentication logs, Network traffic data and Threat intelligence feeds & telemetry. Perform

data preprocessing, feature engineering and model evaluation.

Experiment with

supervised, unsupervised and deep learning techniques.

Build models for Anomaly detection, User and entity behaviour analytics (UEBA), Risk scoring and security alerting. Support the

integration of AI models

into existing security platforms, services or tools. Document findings, experiments, assumptions and model performance metrics. Stay up to date with

emerging AI techniques and evolving cybersecurity threats.

Requirements

Skills and Experience you require

Currently pursuing or recently completed a degree in Computer Science / AI / ML / Cybersecurity / Data Science Strong programming skills in

Python or C#

Understanding of Machine learning fundamentals, Statistics and Data analysis. Hands-on experience with at least one ML framework Scikit-learn, PyTorch, TensorFlow or similar. Experience with Pandas or NumPy for data handling REST APIs and basic backend concepts. Familiarity with Windows and Linux environments Preferred (Nice to Have) + Exposure to cybersecurity concepts (network security, malware, SIEM, SOC operations).
+ Experience working with large datasets or log data.
+ Familiarity with NLP, anomaly detection, or time-series analysis.
+ Prior projects, coursework or research related to AI or security.