Role:
AI ML Architect is responsible for designing and building products/solutions that drive business growth and productivity with latest AI/GenAI frameworks and methodologies
Band : C1/C2
Total Experience : 14+ years
Relevant experience: 5+ years
Qualification Required: BE/B.Tech/ME/M.Tech
Responsibilities:
- Create translation of business needs into a conceptual, logical and physical architecture design of the AI solution
- Collaboration with the AI technical teams needed to deliver the design
- Leading architecture and design competency for the automation technology stack
- Creation of solutions which adhere to Enterprise Architecture, Development, and Information Risk Management standards and policies
- Collaboration with developers and engineering teams resolving the most challenging tasks ensuring the proposed design is properly implemented.
- Strategy for managing the changes to the architecture (new business needs, technology changes, etc.)
- Explain architecture standards and recommendation to business partners and drive alignment
- Lead the end-to-end architecture and development of machine learning solutions
- Primarily responsible for solving problems in various business domains through mixture and tuning of existing algorithms and AI solution components in the areas of NLP, Sentiment analysis, Machine Learning, Artificial Neural Networks, Deep learning.
- Analyze and extract structured knowledge from large unstructured data to automate and optimize key business problems.
- Should be able to measure accuracies for various components of AI-ML/NLP pipeline.
- Will be responsible for building Applied AI solutions using custom algorithms in the areas of NLP, ML, deep learning to solve specific business problem.
- Should anchor Pilot/Production use case delivery by working closely with project delivery teams
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Skills:
RPA