Data Scientist – Agentic AI Engineer
Tasks
- Build LLM-based solutions
- Build automatic evaluation pipelines
- Build end-to-end model pipelines
- Design Agentic AI systems
- Design prompt engineering strategies
- Develop autonomous AI workflows
- Develop chatbots
- Extract structured information
- Fine-tune LLM models
- Implement Named Entity Recognition
- Implement rag pipelines
- Integrate agent frameworks
- Integrate new generative AI techniques
- Perform information retrieval and search
- Preprocess and curate datasets
- Train and evaluate machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Frameworks | Cloud Computing | Data Curation | Deep learning | Entity recognition | Fine Tuning | Generative AI | Information Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Named Entity Recognition | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
Regions
Countries
States
Cities
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