Artificial Intelligence Resource

About the company : A Top IT Product Company

Requirements :

Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field from premier engineering institutes of global ranking. 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.

End to end ML work and deploying of models

 Knowledge of how full stack SaaS products work, scale and perform

Responsibilities :

 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

 Exposure to Agentic AI

 Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organization

 Architect a full ML Platform and build out the infrastructure to support scalability

 Provide collaborative leadership to build out the AI function, MLEs, MLOps and Data Engineering

 Collaborate with stakeholders and project managers to turn business goals into technical solutions

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