The Role
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.
Summary Generated by Built In
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
Skills Required
- 10-20 years of experience in architecture, design and development of highly scalable software products and applications.
- Proven experience 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 (Trade Finance, Retail Lending, Account Opening, SME Lending, 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 evaluate technical and commercial viability.
- Expert-level familiarity with data science packages including Spark, Pandas, SciPy, and NumPy.
- Familiarity with deep learning architectures used for text analysis, computer vision, and signal processing.
- Experience developing end-to-end deep learning solutions for structured and unstructured data problems.
- Experience developing and deploying AI solutions as part of larger automation pipelines.
- Programming skills to write models suitable for production in large-scale systems.
- Lead and manage an AI research and development team.
- Develop and implement AI strategies aligned to business objectives.
- Oversee 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 keep the company at the technological forefront.
- Ensure scalability and efficiency in AI model deployment.
- Mentor team members and foster a collaborative working environment.
- Understanding of statistical or numerical methods and data-driven problem solving.
- Thought-leader level abilities in statistical modelling and machine learning techniques.
- Modeling and analyzing complex, high-volume, high-dimensional data from varying sources.
- Well-versed with supervised and unsupervised ML techniques.
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The Company
What We Do
Marketscope is a technology company specializing in the development and integration of Advanced Driver Assistance Systems (ADAS) and the scaling of production-grade AI/ML applications. The company focuses on AI platform engineering and product stacks, targeting strategic enterprise accounts and government sales, particularly within the Indian market, while expanding its reach into new international industries.
