Job ID: JOB_ID_8337
Job Description:
We are seeking a talented AI/ML Engineer with strong experience in Machine Learning, NLP, and Document AI to join our remote team. The ideal candidate will have hands-on expertise with Python, PyTorch/TensorFlow, and classical ML/deep learning models. You will be responsible for deploying ML solutions on AWS, working with large-scale datasets, and contributing to the development of AI-driven solutions. Experience in Claims, Healthcare, Insurance, or Revenue Cycle domains is preferred.
- Key Responsibilities:
- Develop and deploy machine learning models, including NLP and Document AI solutions.
- Utilize Python, PyTorch/TensorFlow for model development.
- Implement classical ML and deep learning models.
- Perform feature engineering for structured and unstructured data.
- Deploy ML solutions on AWS using SageMaker (training, endpoints, monitoring), Textract, Comprehend, and Bedrock.
- Work with United AI Studio (UAIS) pipelines, guardrails, and governance workflows.
- Analyze and work with large-scale claims or healthcare datasets.
- Develop and maintain SQL queries for data analysis.
- Understand and work with APIs, microservices, and event-driven architectures.
- Skills:
- Strong experience in Machine Learning, NLP, and Document AI.
- Hands-on expertise with Python, PyTorch / TensorFlow.
- Experience with classical ML and deep learning models.
- Experience with feature engineering for structured + unstructured data.
- Experience with open source and AWS OCR (Textract), document classification, entity extraction, and text summarization.
- Proven experience deploying ML solutions on AWS (SageMaker, Textract, Comprehend, Bedrock).
- Familiarity with United AI Studio (UAIS) pipelines, guardrails, and governance workflows (or strong ability to ramp up quickly).
- Experience working with large-scale claims or healthcare datasets.
- Strong SQL and data analysis skills.
- Understanding of APIs, microservices, and event-driven architectures.
- Preferred Qualifications:
- Prior experience in Claims, Healthcare, Insurance, or Revenue Cycle domains.
- Experience building TAT prediction, workflow optimization, or risk scoring models.
- Knowledge of Agentic AI, RAG architectures, and SOP-driven AI solutions.
- Exposure to Responsible AI, model explainability, and regulatory compliance.
Special Requirements
Interview Mode: Video. Domain: Claims, Healthcare, Insurance, or Revenue Cycle (preferred).
Compensation & Location
Salary: $70 – $90 per year (Estimated)
Location: Remote
Recruiter / Company – Contact Information
Email: it.s@quantumworldit.com
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