Lead AI R&D: design, develop, deploy scalable AI/ML and deep learning solutions for structured and unstructured data in BFSI product areas. Manage technical teams, mentor staff, integrate AI into products, ensure model scalability and production-readiness, and monitor AI trends and methodologies.
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 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
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What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
