Software Engineering AI/ML

Ampcus Inc

Plano, TX, United States

25 days ago

Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Bash Shell Computer Programming Data Structures Groovy Python (Programming Language) Machine Learning Tensorflow Prometheus Shell Script

+10 more

Software Construction Systems Integration Software Organization Scripting Pytorch Grafana Scikit Learn Information Technology Dynatrace Elk Stack

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.