3 years of IT experience 2 Years in AI ML DS Domain
Gen AI Technologies Prompt Engineering LLM Development using Langchain
Semantic Kernel Open Source API based LLMs
Python Data Science Machine Learning Deep Learning PySpark PyTorch TensorFlow Keras etc
AIML Subfields such as Neural Networks Computer Vision Speech Processing Natural Language Processing
AIML Tools such as AzureML Google ML AWS AI ML H2O DataBricks DataRobots and any other tools
Key Responsibilities:
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Data collection and preparation Collect and prepare data for training and evaluating LLMs
This may involve cleaning and processing text data or creating synthetic data
Model development Design and implement LLM models
This may involve choosing the right architecture training the model and tuning the hyperparameters
Model evaluation Evaluate the performance of LLM models
This may involve measuring the accuracy of the model on a held out dataset or assessing the quality of the generated text
Model deployment Deploy LLM models to production
This may involve packaging the model creating a REST API and deploying the model to a cloud computing platform
Responsible AI Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling transparency and accountability in all stages of AI development
Must demonstrate a commitment to upholding privacy standards mitigating bias and fostering trust within data driven initiatives
Experience in working with ML toolkit like R NumPy MatLab etc
Experience in data mining statistical analysis and data visualization
Technical Requirements:
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Primary skills
Technology Artificial Intelligence Computer Vision
Technology Big Data Natural language processing NLP
Technology Machine Learning Python
Additional Responsibilities:
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Ability to develop value creating strategies and models that enable clients to innovate drive growth and increase their business profitability
Good knowledge on software configuration management systems
Awareness of latest technologies and Industry trends