About the job

AI/ML Engineers - Freshers (18 Positions )

Job Location : Mumbai / Varanasi

Company Description

Seceon Inc. is a pioneering cybersecurity company delivering a unified, AI-powered platform that enables enterprises, MSPs, and MSSPs to detect, respond, and remediate threats in real-time. Through an innovative solution integrating SIEM, SOAR, UEBA, and more, Seceon offers unmatched scalability and continuous regulatory compliance for diverse industries. With the ability to process millions of events per second, Seceon provides full visibility, faster threat detection, and automated response capabilities. Organizations rely on Seceon to enhance protection, reduce operational complexity, and lower cybersecurity costs by up to 60%, creating a smarter and more efficient security framework.

Role Description

This is a full-time on-site role for AI/ML Engineers (Freshers) located in Varanasi. The role encompasses building, testing, and implementing machine learning models, developing algorithms, and working on advancements in artificial intelligence and machine learning. Engineers will also collaborate with a team to research and develop innovative solutions for real-time cybersecurity challenges and assist in improving threat detection mechanisms through data analysis and pattern recognition.

Qualifications

Proficiency in Pattern Recognition and Neural Networks
Strong foundation in Computer Science and Statistics
Solid understanding and application of Algorithms
Analytical and problem-solving skills, with a focus on AI/ML technologies
Ability to work collaboratively in research and development teams
Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a relevant field
Prior internship or project experience in cybersecurity or AI/ML is a plus

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Salary

Probation:

Duration:

Salary during probation:

After probation:

Annual CTC: Competitive salary

Number of openings

Editor’s note

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.