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Role: Data Scientist
Location: Denver, CO- Hybrid
Type: Contract to Hire
Job Description:
Generative AI Engineer
Responsibilities:
- Integration and Collaboration: Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Document and present complex findings and learnings in a clear and concise manner to a non-technical audience.
- Research and Innovation: Stay up to date on the latest advancements in generative AI technologies and methodologies such as Retrieval Augmented Generation (RAG), Vector Databases, frameworks such as langchain, etc.
- Algorithm Development: Design and develop algorithms for generative models using deep learning techniques, Natural Language Processing (NLP), Retrieval Augmented Generation (RAG) etc.
- Model Architecture Design: Create and fine-tune generative neural network architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer-based models.
- Data Management: Clean, label, and augment data for training and improving AI models.
- AI Alignment and Testing: Perform rigorous testing and validation of generative AI models to ensure their robustness and reliability. Address ethical considerations related to generative AI, such as bias, fairness, and transparency.
Thanks and Regards
Puneet Kumar
Email: [email protected]
Smart Bot Systems LLC
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