AI/ML Software Engineer: Digital Twin & Enterprise Automation

Vector Resources; Albuquerque (NM); On-site; USD 120,000 - 180,000; Full time

Job summary

A leading technology firm in Albuquerque seeks a Machine Learning / Software Engineer to lead modernization efforts in AI/ML automation and software development. This role involves building production ML systems, leading software teams, and designing data integration frameworks, focusing on digital engineering and predictive analytics. Candidates should have experience with ML frameworks like PyTorch and TensorFlow, cloud platforms, and a programming background in Python. A degree in Computer Science or a related field is preferred.

Qualifications

• Experience with ML/AI frameworks and full-stack development from data to interface.
• Knowledge of semantic data modeling and digital engineering concepts.
• Ability to mentor developers and establish best practices in development.

Responsibilities

• Lead technical modernization efforts in AI/ML automation and software development.
• Build and deploy AI/ML systems integrating LLMs for enterprise processes.
• Design data integration frameworks for digital engineering initiatives.

Skills

Building production ML systems

AI-powered applications

NLP/LLM integration

Full-stack development

Enterprise systems integration

Agile methodologies

Cloud platforms (AWS, Azure, GCP)

Python programming

Real-time data streaming

Education

Bachelor's or Master's in Computer Science

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Kafka

Spark

Job description

A leading technology firm in Albuquerque seeks a Machine Learning / Software Engineer to lead modernization efforts in AI/ML automation and software development. This role involves building production ML systems, leading software teams, and designing data integration frameworks, focusing on digital engineering and predictive analytics. Candidates should have experience with ML frameworks like PyTorch and TensorFlow, cloud platforms, and a programming background in Python. A degree in Computer Science or a related field is preferred.