Artificial Intelligence Resource (ID-1129)

Should have minimum 10-20 years of experience in architecture, design and development of highly scalable software products & applications.  Proven experience in managing AI projects and leading technical teams.  In-depth knowledge of AI, machine learning, and deep learning techniques.  Strong understanding of data science concepts and methodologies.

 Experience in BFSI projects as Product Areas Include (i) Trade Finance (ii). Retail Lending (iii) Account Opening (iv) SME Lending (v) Capital & Wealth Management  Excellent communication and leadership skills.  Ability to manage multiple projects simultaneously and meet deadlines.  Demonstrated ability to continuously learn new technologies and quickly evaluate their technical and commercial viability  Demonstrating thought leader-level abilities in commonly used data science packages including Spark, Pandas, Sci.

Py, and Numpy  Leveraging familiarity with deep learning architectures used for text analysis, computer vision and signal processing  Developing end to end deep learning solutions for structured and unstructured data problems  Developing and deploying AI solutions as part of a larger automation pipeline  Utilizing programming skills and knowledge on how to write models which can be directly used in production as part of a large scale syste Requirements  Lead and manage the AI research and development team.

 Develop and implement AI strategies that support business objectives.  Oversee the design, development, and deployment of AI models and algorithms.  Collaborate with cross-functional teams to integrate AI solutions into products.  Monitor and analyze AI trends to ensure the company remains at the forefront of technology.

 Ensure scalability and efficiency in AI model deployment.  Mentor team members and foster a collaborative working environment.  Understanding statistical or numerical methods application, data-driven problem solving  Demonstrating thought leader level abilities in the use of statistical modelling and machine learning techniques  Modeling and Analyzing complex, high-volume, high-dimensionality data from varying sources.

 Well versed with Supervised and Unsupervised ML Techniques