AI Security Engineer

1 week ago

Vellore, Tamil Nadu, India beBeeArtificialintelligence Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title: Artificial Intelligence Security Specialist

About this role:

We are seeking a seasoned AI Security Engineer to join our team. As an Artificial Intelligence Security Specialist, you will be responsible for designing and implementing secure AI systems that meet the highest standards of quality and performance.

You will work closely with cross-functional teams to ensure that all project deliverables meet business objectives and compliance standards. Your expertise in machine learning, cloud native applications, and API development will enable you to deliver end-to-end intelligent solutions that drive business growth.

In addition to your technical skills, you will have excellent communication and problem-solving skills, with the ability to collaborate with stakeholders at all levels.

Key Responsibilities:
  • Design and implement secure AI systems using Java and machine learning algorithms.
  • Develop and support software including applications, database integration, interfaces, and new functionality enhancements.
  • Coordinate cross-functionally to ensure project meets business objectives and compliance standards.
  • Support test and deployment of new products and features.
  • Participate in code reviews.
Requirements:
  • Bachelor's degree in Computer Science (or related field).
  • 8+ years of full stack development using Java, with hands-on experience in building scalable web applications.
  • Strong foundation in machine learning, including model development, training, and integration into production systems.
  • Capable of delivering end-to-end intelligent solutions by combining robust backend systems with AI-driven features.
  • Experienced with modern frontend frameworks such as React or Angular for creating responsive and user-friendly interfaces.
  • 3+ years' experience in API development based on REST, gRPC methodologies using FastAPI, Spring REST or similar frameworks.
  • 3+ years' experience in development and maintenance of cloud native applications using Kubernetes or other container management solutions.
  • Experience with development, deployment, performance tuning and maintenance of AI models and applications on cloud platform.

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