Assistant Manager-Data Science-Gen AI Engineer
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Key skills for this role
About the Role
Develop AI solution based on deep learning/ Neural network/ NLP/ computer vision to extract the content from the documents/video/ images Use Large Language Models (LLMs) – Both commercial and free to solve problems. Have technical experience working with: o Ollama o Yolo o Rasa o Langchain o Paddle OCR
Key Skills for This Role
Full Job Posting
Qualifications
- Bachelor Degree 0 - 1 Year
Responsibilities
- - Develop AI solution based on deep learning/ Neural network/ NLP/ computer vision to extract the content from the documents/video/ images - Use Large Language Models (LLMs) – Both commercial and free to solve problems. - Have technical experience working with: - Ollama - Yolo - Rasa - Langchain - Paddle OCR - Have working experience in following kind of tasks: - Content extraction, like address extraction from invoice documents - Intent classification and NER - Image classification and OCR - Prepare custom neural network architecture and train deep learning networks - Integrate AI solutions with real-time applications and deploy them both on on-premise and cloud (AWS, Azure) - Validate the model and fine-tuning the model on continual basis - Data Imputation & Cleansing through industry best statistical practices - Exploratory Data Analysis with Python to understand the summary statistics, distribution of the dataset, detection of outlier / influencing observations etc. - Ensuring the solution design are aligned with architecture standards - Research on latest computer vision techniques and apply them in client scenarios - Perform code integration and code review both on performance and stress testing - Ensure timely completion of assigned tasks as per the Project Plan Highlight Risk and Issues throughout the project life cycle to respective Project Manager
About EXL
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.
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