Description
You will develop and deploy AI models focusing on OCR and LLM technologies.
Responsibilities
- Train and fine-tune LLMs using custom datasets and deep learning architectures.
- Implement NER models and compare model feasibility for specific use cases.
- Collaborate with software engineers to deploy models into production environments.
- Build visualizations to communicate technical results to non-technical stakeholders.
- Ensure all work adheres to HIPAA compliance, data confidentiality, and the AWS Well-Architected Framework.
Required Skills
- 5+ years of experience in data science and model training.
- Hands-on experience fine-tuning open source models such as Mistral and Llama.
- Proficiency in Python and SQL.
- Experience with AWS services including SageMaker, Bedrock, Lambda, S3, API Gateway, and Textract API.
- Knowledge of Hugging Face packages and prompt tuning.
- Experience with OCR, NER, and computer vision models for object detection and segmentation.
- Practical use of Big Data tools and data cleaning techniques.
- Familiarity with CI/CD, Jenkins, and version control.
- Ability to perform robust model testing and QA/application testing.
Preferred Skills
- Experience working within AWS Well-Architected Framework principles.