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Need 12+ Years Profiles - AWS AI/ML Engineer – Medicaid (Python & SageMaker) - Remote

Remote • Posted 1 hour ago • Updated 1 hour ago

Contract W2

Contract Corp To Corp

Contract Independent

12 Months

No Travel Required

Remote

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Amazon Lambda
HIPAA
Health Care
Lifecycle Management
Machine Learning (ML)
Data Analysis
Cloud Computing
Amazon S3
Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Collaboration
Continuous Delivery
Continuous Integration
Data Security
Evaluation
Generative Artificial Intelligence (AI)
Git
Machine Learning Operations (ML Ops)
Medicaid
Medicare
Privacy
Public Sector
PyTorch
Python
Regulatory Compliance
SQL
Step-Functions
TensorFlow
Training
Use Cases

Amazon Lambda
HIPAA
Health Care
Lifecycle Management
Machine Learning (ML)
Data Analysis
Cloud Computing
Amazon S3
Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Collaboration
Continuous Delivery
Continuous Integration
Data Security
Evaluation
Generative Artificial Intelligence (AI)
Git
Machine Learning Operations (ML Ops)
Medicaid
Medicare
Privacy
Public Sector
PyTorch
Python
Regulatory Compliance
SQL
Step-Functions
TensorFlow
Training
Use Cases

Summary

Job Title: AWS AI/ML Engineer – Medicaid (Python & SageMaker)

Location: Remote (Preferred Healthcare/Public Sector Experience) (Local to OH Preferred)

Duration: Contract

Job Summary

We are seeking an experienced AWS AI/ML Engineer to support a Medicaid modernization initiative for an HHS client. The ideal candidate will have expertise in Python, Amazon SageMaker, and Synthetic Data Generation techniques to develop AI solutions while ensuring data privacy and regulatory compliance.

Responsibilities

Develop AI/ML solutions using Python and AWS services.
Build, train, evaluate, and deploy machine learning models using Amazon SageMaker.
Design and generate synthetic datasets for healthcare and Medicaid use cases while preserving privacy.
Prepare, clean, and transform healthcare datasets for model training.
Collaborate with business analysts, data engineers, and Medicaid SMEs to understand requirements.
Optimize model performance and monitor production ML workloads.
Implement MLOps best practices for model deployment and lifecycle management.
Ensure compliance with HIPAA and healthcare data security standards.
Document technical designs, model performance, and deployment procedures.

Required Qualifications

5+ years of Python development experience.
3+ years of AWS cloud experience.
Hands-on experience with Amazon SageMaker.
Experience developing machine learning or AI solutions.
Experience generating or working with synthetic datasets.
Strong knowledge of data preprocessing, feature engineering, and model evaluation.
Experience with SQL and data analysis.
Knowledge of Git and CI/CD pipelines.

Preferred Qualifications

Experience supporting HHS, Medicaid, Medicare, or healthcare projects.
Understanding of healthcare claims, member eligibility, provider, or encounter data.
Experience with AWS Lambda, S3, Glue, Athena, IAM, CloudWatch, and Step Functions.
Familiarity with Generative AI, LLMs, or Retrieval-Augmented Generation (RAG).
Knowledge of TensorFlow, PyTorch, or Scikit-learn.
AWS Certified Machine Learning – Specialty or AWS Certified AI Practitioner.

Technical Skills

Required

Python
Amazon SageMaker
AWS Cloud
Machine Learning
Synthetic Data Generation
SQL

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91173422
Position Id: 9036798
Posted 1 hour ago

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