Generative AI Engineer

Insight Global; United States; Remote; USD 130,000 - 210,000; Full time

Job summary

A leading health technology company seeks experienced Artificial Intelligence Engineers and Data Scientists to develop AI and machine learning models. In this full-time role, team members will integrate cutting-edge AI solutions into a comprehensive RCM platform. Candidates should have a relevant Master's degree and extensive experience in the field, with a focus on cloud-based AI environments.

Qualifications

• 5+ years of experience in AI/ML solutions.
• Experience in Azure cloud environment.
• Advanced knowledge of MLOps fundamentals.

Responsibilities

• Build AI and ML models and pipelines.
• Work closely with product leads and data scientists.
• Implement models and build data pipelines.

Skills

Artificial Intelligence

Machine Learning

Deep Learning

Big Data

Education

Masters in Computer Science

Tools

Azure Databricks

Pytorch

TensorFlow

Job description

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

$130,000.00/yr - $210,000.00/yr

Type: Full Time

Salary: 130k - 210k (dependent on years of experience)

Location: Fully Remote (Needs to sit either CST or EST time zone)

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 team member 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

- Advanced 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)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Public Health

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