Posted:1 hour ago|
Platform:
Remote
Full Time
Designing and implementing advanced state-of-the-art AI architectures, specializing in LLMs, SLMs, VLMs and MLLMs. Develop Gen AI workflows, fine tune and work with stakeholders. Perform scientific evaluation of NLP/LLM models, come up with new techniques for model validation, evaluation, trust and safety. Understand user behavior and requirements and develop accordingly. Write Generative AI pipelines to give contextual awareness of structured and unstructured data to LLMs. Develop MLOps (Machine Learning Operations) workflows for data preparation, deployment, monitoring and retraining. Create and own cloud native API to deploy ML models. Craft data warehousing strategy along with instrumenting ETL pipelines for maintaining quality data to be used for Model Training. Design and implement A/B experiments user segmentation, user classification, and tooling to support A/B experiments. Research and apply state-of-the-art techniques in Deep Learning and Generative AI Domain. Build and enhance NLP pipelines for hierarchical data.
Purecode Software
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