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# Software Engineering AI/ML

- **Company:** Ampcus Inc
- **Location:** Plano, TX, United States
- **Experience:** Experienced
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Bash Shell, Computer Programming, Data Structures, Groovy, Python (Programming Language), Machine Learning, Tensorflow, Prometheus, Shell Script, Software Construction, Systems Integration, Software Organization, Scripting, Pytorch, Grafana, Scikit Learn, Information Technology, Dynatrace, Elk Stack
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/24f2aa14-d4d6-415b-9d76-77b6118f6a4a

## About the Role

* AI/ML knowledge (2-3 years)
 * AWS 8 years
 * observability tools - Grafana, Slunk, Dynatrace
 * automation scripting languages - Bash, shell script, groovy, * Bachelor s or Master s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
 * 5+ years total engineering experience with 3+ years hands-on experience delivering AI/ML engineering solutions in production environments.
 * Strong programming skills in Python; Java experience is a plus, especially for enterprise platform integration.
 * Experience with ML frameworks such as PyTorch, TensorFlow, and scikit-learn, including model training and evaluation workflows.
 * Hands-on experience building agent-based systems and integrating them into real operational or engineering workflows.
 * Experience applying AI/ML to automate or improve Infrastructure as Code workflows (examples: generation assistance, validation, policy checks, drift detection, change risk scoring).
 * Familiarity with observability fundamentals and toolsets (examples: Prometheus, Grafana, ELK stack) and experience automating operational workflows using AI/ML.
 * Strong foundations in data structures, algorithms, machine learning, statistics, and software engineering best practices.
 * Experience integrating AI capabilities into modern software development practices and supporting legacy modernization or code transformation initiatives.
 * Strong communication and collaboration skills, with the ability to work effectively across engineering and operations stakeholders.



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