Job responsibilities:
- Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution.
- Conduct research on AI techniques to enhance model performance in the compliance and risk domains.
- Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system.
- Communicate technical concepts effectively to both technical and non-technical stakeholders.
- Develop and maintain tools and frameworks for model training, evaluation, and optimization.
- Analyze and interpret data to evaluate model performance and identify areas for improvement.
Required qualifications, capabilities, and skills:
- Master’s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities.
- At least 12+ years of Experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI.
- Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow.
- Thorough knowledge of machine learning concepts, including transformers and language modeling.
- Experience in data pre-processing, feature engineering, and data analysis.
- Excellent problem-solving skills and the ability to communicate ideas and results clearly.
- Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.