Artificial Intelligence Engineer

Insight Global; United States; Remote; USD 140,000 - 195,000; Full time

Job summary

A leading health technology company is seeking experienced Artificial Intelligence Engineers to develop AI solutions within their remote RCM platform. Candidates should have a strong background in AI and machine learning, with a focus on deep learning and substantial experience in cloud environments. The role involves building AI models and collaborating with teams across various domains, with extensive benefits and a competitive salary structure.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• 5+ years of practical experience in AI/ML implementations.
• Experience in Azure cloud environment, specifically with Azure Databricks.
• Strong background in deep learning and model development.

Responsibilities

• Build AI and ML models and pipelines for a health technology platform.
• Work closely with product leads to implement ML/AI models.
• Create and develop machine learning models and solutions.

Skills

Deep Learning

Machine Learning

Regression Algorithms

Classification Algorithms

Clustering Algorithms

MLOps Fundamentals

Pytorch

TensorFlow

Azure Databricks

Education

Masters in Computer Science

Masters in Machine Learning

Masters in Artificial Intelligence

Tools

Hadoop

Spark

Job description

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Insight Global provided pay range

This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$140,000.00/yr - $195,000.00/yr

JOB DESCRIPTION

Insight Global is seeking a team of experienced, driven Artificial Intelligence Engineers and Data Scientists to join an established health technology company sitting remotely in the EST or CST timezone. This is a full-time, permanent role with competitive salary, bonus, and comprehensive benefits. In this role, this development team will play a pivotal role in integration AI technology into a massive RCM platform. The engineers and scientists are responsible for building AI and Machine learning models and pipelines, with a focus on agentic and generative AI, LLMs and predictive modelling. The Data Scientists will create and build machine learning models and solutions, often creating models from scratch. The AI Engineer will also work closely with data scientists and product leads to implement those ML/AI models, and build required data and code pipelines through rigorous engineering disciplines. To be successful in this role, it's imperative for candidates to have prior experience at a healthtech company (ideally working with RCM software) or company with large systems and data sets, and have an excellent grasp on deep learning, regression, classification, and clustering algorithms. This role is remote, but requires domestic travel for in-person collaboration. The location of these collaboration events is the most-centralized city based on where each teammember lives. All travel and meal costs are covered by the company.

REQUIRED SKILLS AND EXPERIENCE

- 5+ years of practical experience as an engineer with focus on implementation of AI / ML machine learning solutions

- Masters in Computer Science, Machine Learning, Artificial Intelligence, or related field

- 5+ years of recent experience in an Azure cloud environment using Azure Databricks as their primary AI tool

- 3+ years of experience with ML ecosystem tools, specifically pytorch and tensorflow

- Prior experience creating machine learning models and developing chatbots from scratch

- Avanced knowledge of MLOps fundamentals (orchestration tools, cloud compute, observability tools)

- Experience with langchain, llamaindex, haystack, azure AI studio, or other common tools in emerging LLM-enabled tech stacks - Strong Big Data framework experience (Hadoop or Spark)

NICE TO HAVE SKILLS AND EXPERIENCE

- Prior experience in revenue cycle management, health technology, or financial systems

SALARY

$140,000 -$195,000

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Hospitals and Health Care

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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