Contribute to the design and implementation of stateoftheart AI solutions. |
Assist in the development and implementation of AI models and systems leveraging techniques such as Language Models (LLMs) and generative AI. |
Collaborate with stakeholders to identify business opportunities and define AI project goals. |
Stay updated with the latest advancements in generative AI techniques such as LLMs and evaluate their potential applications in solving enterprise challenges. |
Utilize generative AI techniques such as LLMs to develop innovative solutions for enterprise industry use cases. |
Integrate with relevant APIs and libraries such as Azure Open AI GPT models and Hugging Face Transformers to leverage pretrained models and enhance generative AI capabilities. |
Implement and optimize endtoend pipelines for generative AI projects ensuring seamless data processing and model deployment. |
Utilize vector databases such as Redis and NoSQL databases to efficiently handle largescale generative AI datasets and outputs. |
Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. |
Collaborate with domain experts stakeholders and clients to understand specific business requirements and tailor generative AI solutions accordingly. |
Conduct research and evaluation of advanced AI techniques including transfer learning domain adaptation and model compression to enhance performance and efficiency. |
Establish evaluation metrics and methodologies to assess the quality coherence and relevance of generative AI outputs for enterprise industry use cases. |
Ensure compliance with data privacy security and ethical considerations in AI applications. |
Leverage data engineering skills to curate clean and preprocess largescale datasets for generative AI applications. |
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