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Internship Aws Machine Learning Jobs in Indiana (NOW HIRING)

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

... from machine learning to cognitive services (IBM Watson, AWS AI, Google AI, etc.), big data architectures and business intelligence. You will be part of our team, full of talent and desire to ...

CTIO AI Engineering Manager

Indianapolis, IN · On-site

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... like AWS, GCP, Azure - Contributing to open-source projects or AI/ML publication Travel ...

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Internship Aws Machine Learning information

What are the most commonly searched types of Aws Machine Learning jobs in Indiana? The most popular types of Aws Machine Learning jobs in Indiana are:
What cities in Indiana are hiring for Internship Aws Machine Learning jobs? Cities in Indiana with the most Internship Aws Machine Learning job openings:

Senior ML Engineer

Tao Digital Solutions, Inc.

Indianapolis, IN • On-site

$99.90K - $137.20K/yr

Full-time

Posted 25 days ago


Job description

We are building a small, high-impact team to support advanced analytics and machine learning initiatives for a leading healthcare technology management company. This team will focus on predictive modeling, cost optimization, and ROI analysis for clinical asset management and capital planning.
Key Responsibilities
  • Develop and deploy statistical and machine learning models for predictive maintenance, resource optimization, and operational efficiency.
  • Perform econometric and financial analysis to support capital planning and cost-benefit decisions.
  • Design and implement data pipelines for large-scale healthcare datasets (EHR, claims, RTLS, device telemetry).
  • Collaborate with cross-functional teams (clinical engineering, finance, IT) to translate insights into actionable strategies.
  • Ensure compliance with HIPAA and healthcare data governance standards.

Required Qualifications
  • Master's or Ph.D. in Statistics, Economics, Data Science, or related field.
  • 3+ years of experience in ML model development and deployment.
  • Strong foundation in statistical inference, econometrics, and causal analysis (e.g., regression, Bayesian methods, DiD).
  • Proficiency in Python, SQL, and ML frameworks (Scikit-Learn, XGBoost, TensorFlow).
  • Excellent communication skills for presenting insights to technical and business stakeholders.

Preferred Skills
  • Experience with healthcare data (EHR, claims, RTLS).
  • Familiarity with capital planning and ROI modeling.
  • Knowledge of cloud platforms (AWS, Azure) and containerized deployments.