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Senior level position responsible for accomplishing results through solutioning, development and implementation of AI/ML capabilities as an Individual contributor. The Solutions Engineer - AI Enablement is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business.
Job Responsibility:
Enhance current toolset with AI/ML capabilities for Big data
Solutioning for the identified use cases
Build quick proof-of-concept to demonstrate identified solutions
Collaboration with larger AI/ML stream across data organization
Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
Contribute to formulation of strategies for applications development and other functional areas
Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
Provide evaluative judgment based on analysis of factual data in complicated and unique situations
Requirements:
Experience of 5-8 years in AI/ML
Hands-on experience in Python and using ML Libraries (TensorFlow, Scikit-learn, Pytorch) for BigData
Hands-on experience with LLMs and GenAI APIs (Open AI GPT, Bard, etc.)
Experience in applying Machine Learning or NLP models in Real time applications for large datasets
Experience with MLOPs and Model Deployment Pipelines
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