AI Risk Management Specialist
8 hours ago
We are seeking a highly skilled AI/ML Risk Consultant to join our team at EliteRecruitments.
About the RoleThis is an exciting opportunity for a seasoned professional with expertise in machine learning, natural language processing, and generative AI. The successful candidate will possess a strong background in AI/ML model development/validation, optimization, and risk management, with a proven track record of integrating AI/ML solutions into business strategies and managing complex regulatory and ethical considerations.
Key Responsibilities- Design, develop, train, fine-tune, evaluate, validate, and optimize ML models for enhanced performance, accuracy, generalization, and scalability.
- Apply strategic thinking to integrate AI solutions into existing systems and applications, leveraging technical expertise in AI and ML.
- Manage data risk, information security, operations, privacy, and compliance, drawing on a strong background in risk management and governance.
- Navigate the complexities of financial services regulations, AI standards, and ethical principles related to AI, with a focus on managing the heightened risks of Gen AI and emerging technologies.
- Conduct comprehensive risk assessments for a variety of AI and Gen AI use cases, considering the entire lifecycle from development to deployment.
- Design and implement rigorous testing frameworks to evaluate the performance, quality, and reliability of generative AI models.
- Prepare and present detailed reports on AI risk metrics, including Key Control Indicators, Key Risk Indicators, and Key Performance Indicators, to facilitate early detection of potential risks.
- Oversee the continuous monitoring and evaluation of AI risks, adapting strategies to manage emerging threats effectively.
- Communicate effectively with leadership and cross-functional teams to influence outcomes and drive results in risk management initiatives.
- Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.
- Experience in natural language processing (NLP), generative AI and its applications.
- Experience with machine learning optimization and a variety of generative AI models and techniques.
- Strong understanding of and experience with various AI/ML model validation techniques, including statistical tests, ablation studies, and adversarial testing. Familiarity with common metrics and benchmarks used in the validation of generative models.
- Knowledge of deep learning models such as GANs, diffusion models, and transformers.
- Relevant experience in Financial Services industry would be desirable.
- Experience in a modeller role in the financial services industry is preferred.
The successful candidate will receive a competitive salary of ₹20-30 lakhs per annum, commensurate with experience, along with a range of benefits including health insurance, retirement plan, and opportunities for professional growth and development.
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