Company Overview :

iZOOlogic is a global leader in cyber intelligence and digital risk protection, providing advanced solutions to combat phishing, brand impersonation, and online fraud. Operating at the intersection of cybersecurity and data science, the company empowers enterprises to proactively identify and neutralize digital threats across the surface, deep, and dark web. With a culture rooted in technical excellence and rapid innovation, iZOOlogic maintains a robust global infrastructure that protects high-value assets for major organizations worldwide.

Role Overview :

As an AI Engineer based in Jaipur, you will be at the forefront of developing intelligent systems that automate threat detection and enhance our security intelligence platform. You will collaborate closely with data scientists, cybersecurity analysts, and software engineers to translate complex threat patterns into scalable machine learning models. Your work will directly impact the speed and accuracy with which our clients can respond to emerging digital risks, effectively turning massive datasets into actionable security insights.

Key Responsibilities :

- Design and deploy machine learning models to identify and categorize sophisticated phishing and fraud patterns in real-time.

- Optimize existing AI pipelines to improve the precision of threat detection systems, ensuring minimal false positives for our global client base.

- Collaborate with cross-functional engineering teams to integrate AI-driven features into the core iZOOlogic platform.

- Analyze large-scale datasets to uncover hidden trends in cybercriminal behavior, providing the intelligence team with deeper visibility into threat landscapes.

- Maintain and monitor model performance in production environments to ensure high availability and reliability of security services.

Required Skillset :

- Demonstrated proficiency in building and deploying machine learning models using Python, leveraging libraries such as TensorFlow, PyTorch, or Scikit-learn.

- Strong understanding of natural language processing (NLP) and computer vision techniques to analyze diverse digital threat vectors.

- Ability to manage and process large datasets using SQL and NoSQL databases, ensuring efficient data pipelines for model training.

- Excellent problem-solving skills with the ability to communicate complex technical concepts to non-technical stakeholders effectively.

- A degree in Computer Science, Data Science, or a related quantitative field, combined with 1 - 4 years of hands-on experience in AI/ML development.

- Adaptability to work effectively in an on-site environment in Jaipur, contributing to a collaborative and fast-paced team culture.