Software Engineering AI/ML

Ampcus Inc
Plano, United States of America
yesterday

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Plano, United States of America

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Bash
Computer Programming
Data Structures
Groovy
Python
Machine Learning
TensorFlow
Prometheus
Shell Script
Software Construction
Systems Integration
Software Organization
Scripting (Bash/Python/Go/Ruby)
PyTorch
Grafana
Scikit Learn
Information Technology
Dynatrace
ELK

Requirements

  • 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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