Develop Deep Learning models focusing on NLP Large Language Models (LLMs) and Generative AI.
Collaborate with Other Team Members to optimize model performance using MLOps frameworks.
Experiment with architectures hyperparameters and training techniques to achieve stateoftheart results.
Prepare and preprocess datasets including managing vector stores for efficient data retrieval.
Train and finetune models implementing RAGs (RetrievalAugmented Generation) to enhance content relevance and accuracy.
Deploy scalable robust models to production environments.
Translate business requirements into technical solutions by working with crossfunctional teams.
Continuously research and adopt advancements in Deep Learning NLP and LLMs.
Maintain comprehensive documentation of models code and workflows.
Participate in code reviews and provide constructive feedback to ensure code quality.
Research and implement advanced ML techniques to improve model accuracy and efficiency.
Communicate technical concepts and project updates effectively to both technical and nontechnical stakeholders.
Experience with web development frameworks such as Flask Django or Fast API. (2) Exposure to containerization tools like Docker or orchestration tools like Kubernetes.
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