Job Location: Cochin
 Overview:
Role Summary
Responsibilities:
Role Summary
The AI-ML Security Specialist is a critical role in the Emerging Technology Security practice. In this role you will be working with a core team of AI-ML developers and application security experts to remediate identified vulnerabilities, implement code level security controls to enhance the security of the AI-ML applications. Your ability to recognize potential threats and addressing them will be critical for securing AI-ML projects.
Qualifications:
- 8-15 years of experience working in predictive modelling, data science and analysis post completion of regular full time BE/BTech/BSc/MSc/MCA/Diploma/Mtech/MBA-IT/Systems from recognized University.
- Solid understanding and experience of deep learning architectures and algorithms
- Strong understanding on core security architecture
- Proficiency in language like Python / C++ / Java / Go
- Understanding of data structures and software architecture
- Experience writing and tuning SQL
- Experience in using ML libraries
- Experience using data visualization tools
- Strong analytical and problem solving skills
- Should have experience in remediating identified issues.
- Should have experience working in a product company
- Strong communication skills.
Roles & Responsibilities:
Responsibilities:
- Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models
- Transforming data science prototypes and applying appropriate ML algorithms and tools
- Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions
- Running tests, performing statistical analysis, and interpreting test results.
- Keeping abreast of developments in AI-ML
- Assess threats to various AI-ML models and determines suitable measures to address them
- Develop AI-ML security standards in collaboration with security architects
- Collaborate with AI-ML Specialist for evaluating / assessing changes in AI-ML applications
- Develop fixes / patches to remediate identified vulnerability issues in AI-ML applications.
- Build additional test cases for remediation purpose and enhance code coverage through these automated test cases. ( Leverage Test Driven Development approach).
- Collaborate with the security team to perform security simulation activities for validating implemented security patches.
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