About Sectona

Sectona is a Privileged Access Management company that helps enterprises mitigate risk of targeted attacks to privileged accounts spread across data centers and cloud. It provides modern infrastructure access layer for new age workforce to build, confidently access and operate a faster, more secure technology environment. Sectona delivers a single stack integrated Security Platform which hosts multiple solutions, such as, Privilege Access Management (PAM), Privilege Access Governance (PAG), DevOps Secret Management (DSM) and Endpoint Privilege Management (EPM) for securing dynamic workforce access across on-premises or cloud workloads, endpoints and machine to machine communication.Sectona works with diverse set of customers from 25+ countries with focus on India, Middle East, Africa, South East Asia, Europe and UK.

For more information, visit www.sectona.com and follow @sectona1 on Twitter or @Sectona on LinkedIn

What you will do for Sectona

We are looking for an AI/ML Developer to develop and integrate AI-driven capabilities into our enterprise cybersecurity platform. The role involves building intelligent solutions for security monitoring, threat detection, anomaly detection, risk analysis, and automation.

The candidate will work closely with engineering and product teams to apply AI/ML techniques to real-world cybersecurity challenges, particularly in Privileged Access Management (PAM), Identity Security, and user behaviour analysis.

Key Responsibilities

We are looking for an AI/ML Developer to develop and integrate AI-driven capabilities into our enterprise cybersecurity platform.



The role involves building intelligent solutions for security monitoring, threat detection, anomaly detection, risk analysis, and automation.

The candidate will work closely with engineering and product teams to apply AI/ML techniques to real-world cybersecurity challenges, particularly in Privileged Access Management (PAM), Identity Security, and user behaviour analysis.

Key Responsibilities

- Design, develop, and implement ML models for intrusion detection, phishing detection, and anomalous access behaviour.
- Analyse security logs, authentication data, network traffic, and threat intelligence feeds.
- Perform data preprocessing, feature engineering, and model evaluation.
- Implement supervised, unsupervised, and deep learning techniques.
- Develop solutions for anomaly detection, User and Entity Behaviour Analytics (UEBA), risk scoring, and threat detection.
- Integrate AI/ML models into existing enterprise applications and security platforms.
- Develop and consume REST APIs for AI-powered capabilities.
- Optimize model performance, accuracy, and scalability.
- Conduct experiments, validate results, troubleshoot model issues, and improve detection capabilities.
- Collaborate with product engineering and cybersecurity teams to translate business and security requirements into AI-driven solutions.
- Document experiments,



implementation approaches, and model performance.
- Stay updated with emerging AI/ML technologies and cybersecurity trends.

Skills and Experience you require

- Bachelor's or Master’s degree in computer science, AI/ML, Data Science, Cybersecurity, or a related field.
- 2 years of experience in AI/ML development, Python/C# development, or related software engineering.
- Strong programming skills in Python or C#.
- Good understanding of Machine Learning, statistics, and data analysis.
- Hands-on experience with Scikit-learn, PyTorch, or TensorFlow.
- Experience with Pandas and NumPy for data processing.
- Knowledge of supervised/unsupervised learning, anomaly detection, and model evaluation.
- Experience with REST APIs and backend development.
- Familiarity with Windows and Linux environments.
- Knowledge of Git and software development practices

Preferred (Nice to Have)

- Understanding of cybersecurity concepts such as network security, SIEM, SOC, and threat intelligence.
- Exposure to IAM, PAM, and Identity Security.
- Experience analysing security logs, authentication events, and system telemetry.
- Familiarity with NLP, deep learning, and time-series analysis.
- Exposure to Generative AI, LLMs, and AI-powered automation.
- Basic knowledge of Docker and cloud platforms (AWS/Azure).

You should apply if....

- Care about contributing to an amazing work culture and environment.
- Are comfortable with the quick-paced, mercurial nature of a tech startup.
- Have impeccable communication - both verbal and written

Work Location : Mumbai, India

📌 AI/ML Developer (Mumbai)
🏢 Sectona
📍 Mumbai