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# AI ML Engineer

- **Company:** VeeRteq Solutions Inc
- **Location:** Franklin, TN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Artificial Intelligence, Software Applications, Automation of Tests, Microsoft Azure, Software as a Service, Github, Software Engineering, SonarQube, Generative AI, Information Technology, Apache Kafka, Artificial Intelligence Markup Language (AIML), Databricks
- **Published:** July 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0a2b763e5ef2d69a

## About the Role

Minimum 10+ years of software engineering experience.

Strong experience in Artificial Intelligence and Machine Learning.

Hands on experience with Generative AI and enterprise AI solutions.

Experience with Azure, Databricks, Kafka, GitHub, and SonarQube.

Knowledge of Java and .NET technologies.

Experience building scalable cloud based applications.

Healthcare domain experience is required.

Strong analytical, communication, and problem solving skills., Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, Data Science, or a related field. Relevant technical certifications are an added advantage.

## Description

Lead end to end delivery of AI and machine learning initiatives with ownership of project scope, timelines, quality, and delivery.

Develop AI driven solutions to support healthcare applications and business transformation.

Drive adoption of AI across the software development lifecycle through automation and intelligent engineering practices.

Implement Generative AI solutions, AI copilots, and agentic workflows to improve productivity and delivery efficiency.

Identify opportunities for AI enabled process automation and workflow optimization.

Collaborate with cross functional teams to translate business requirements into AI driven technical solutions.

Support AI enabled quality engineering, intelligent test automation, and validation processes.

Mentor engineering teams and promote AI best practices across the organization.

Work with modern technology platforms including .NET, Java, Databricks, Azure, Kafka, GitHub, and SonarQube.

Deliver scalable, secure, and high quality AI powered applications.


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