AI Intern

Mumbai - India

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

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.

Required Skills:

Required Skills and Experience: 3-4 years of relevant digital marketing experience preferably in a B2B/SaaS environment (cybersecurity experience a plus). Strong SEO expertise with measurable results. Hands-on experience executing campaigns on LinkedIn and other social platforms. Experience with marketing and SEO tools such as Semrush SE Ranking Ahrefs HubSpot Google Analytics and Search Console and CRM tools like Salesforce. Familiarity with paid campaign setup (LinkedIn ads and search ads). Data-driven and comfortable using analytics to make recommendations. Ability to distil performance data into actionable insights and present them clearly. Excellent communication and presentation skills. Collaborative mindset to work across teams. Ability to manage multiple projects and campaigns simultaneously. Strong organisational skills and attention to detail. Proactive problem solver with a results-oriented attitude. Preferred Educational Background Masters degree in marketing or related field. Bachelors degree or global equivalent in any IT field is good to have. You should apply if.... Care about contributing to an amazing work culture and environment. Are comfortable with the fast-paced mercurial nature of a tech startup. Have impeccable communication - both verbal and written

What you will do for SectonaWe 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...

What you will do for Sectona

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.

Required Skills: