Research & Development

DevSecOps Engineer

Design, implement, and maintain secure infrastructure and CI/CD pipelines.
Automate security scans, tests, and vulnerability assessments throughout the development process.
Integrate security tools and practices into development workflows.
Collaborate with development and operations teams to identify and address security risks.
Stay up-to-date on the latest security threats and best practices.
Contribute to the development and implementation of security policies and procedures.
Conduct security awareness training for development and operations teams.
Continuously improve and optimize security processes.

Bachelor’s or master's degree in computer science, engineering, data science, or a related technical field, or equivalent industrial experience.
At least 1+ years of working experience in AI/ML, with a proven track record of success in designing, developing, and implementing AI/ML solutions.
Strong expertise in AI/ML algorithms, techniques, and frameworks, including deep learning, machine learning, computer vision, and natural language processing.
Proficiency in programming languages such as Python and C/C++.
Experience with data engineering tools and techniques.
Experience with AI/ML-related tools and frameworks such as TensorFlow and PyTorch.
Good communication and collaboration skills, with the ability to communicate complex technical concepts effectively to both technical and non-technical members.
Strong problem-solving and analytical skills, with the ability to identify and resolve complex technical challenges.
Experience of using knowledge graph with large language model
Experience with DevOps and MLOps practices and CI/CD pipelines for AI/ML models.
Understanding of cybersecurity principles and practices for AI/ML systems.
Familiarity with big data technologies such as Hadoop, Spark, or Kafka
Prior consulting experience in the AI/ML domain.

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