Description:
Deliver machine learning and artificial intelligence solutions to support analytical and automation needs. Develop, train, and implement ML and AI models using relevant data sources. Apply techniques such as natural language processing, computer vision, or predictive analytics based on project objectives. Perform data preprocessing, feature selection, and model evaluation to ensure solution quality. Deploy AI-driven applications and monitor their performance in production. Document methodologies and collaborate with technical teams to align solutions with project requirements.
Skills:
Azure Cognitive Services integration
Databricks and SQL Server
Offline Open-Weight Model Usage
Databricks Foundational Model Integration
Claude API implementation (a plus)
Third-party pre-trained NLP libraries
Python and NLP frameworks (spaCy, Hugging Face, NLTK)
Healthcare/clinical text processing
Experience:
5+ years in AI/ML engineering
Experience with clinical NLP and healthcare data extraction
LLM fine-tuning and prompt engineering
Deployment to production
Additional Skills:
Microsoft SQL Azure (Advanced, 6 9 years)
Robotic Process Automation / Artificial Intelligence / Machine Learning (Advanced, 6 9 years)
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