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, SciPy, 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 cooperative 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

📌 Artificial Intelligence Resource (New Delhi)
🏢 MarketScope
📍 New Delhi