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Jobs · Engineering · New Mexico

Machine Learning / Software Engineer

Vector Resources, Inc · Albuquerque, NM · 4 mo ago
On-siteEngineering$110k–$150k/yrFull-time

Ai/Ml

Build and deploy AI/ML systems using LLMs and NLP to automate enterprise processes, including developing solutions to standardize part taxonomies across hundreds of thousands of components from disparate sites by intelligently mapping unique naming conventions to common UNSPSC codes.

Digital Engineering Leadership

Lead digital engineering transformation initiatives to advance the enterprise toward digital thread, digital twin, and model-based systems engineering, including architecting data integration frameworks that connect design, simulation, test, and manufacturing systems across the weapons complex lifecycle.

Software Development And Program Integration

Lead and mentor software development teams, establishing technical standards, MLOps practices, and development workflows while directing the implementation of front-end interfaces, APIs, and cloud-based deployments.

Qualifications

  • Experience building and deploying production machine learning systems and AI-powered applications, including NLP/LLM integration, predictive modeling, and full-stack development from data pipelines through user interfaces.
  • Enterprise systems integration experience including connecting disparate data sources, building data integration frameworks for digital thread/digital twin applications, and knowledge of semantic data modeling, ontologies, or graph databases.
  • Experience leading technical teams, mentoring developers, and establishing best practices for software development, including agile methodologies, CI/CD, and DevOps/MLOps workflows.
  • Proficiency with ML/AI frameworks (PyTorch, TensorFlow, scikit-learn), LLM deployment, cloud platforms (AWS, Azure, GCP), and modern development tools including containerization (Docker, Kubernetes) and streaming data platforms (Kafka, Spark).
  • Strong programming foundation in Python and experience with full-stack development (React, Vue, or similar frameworks); exposure to Model-Based Systems Engineering (MBSE) tools like Cameo Systems Modeler or digital twin platforms is highly valued along with proficiency in R, SQL, JavaScript, etc.; experience with IoT/sensor integration, real-time data streaming, or PLM system integration is a plus.

Skills

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Software Engineering, Electrical Engineering, or related technical field with strong computational focus.
  • Experience building production ML/AI systems that solve real business problems; exposure to digital engineering concepts (digital thread, digital twin, MBSE) or PLM/systems integration; demonstrated ability to lead technical modernization initiatives and introduce emerging technologies into large organizations.
  • Department of Energy (DOE) 6.X and/or DoD 5000-series acquisition experience.
  • Knowledge of the interfaces between DOE/NNSA programs, field sites, contractors, and other government agencies involved in weapons production, handling, and transportation.
  • Knowledge of DOE/NNSA weapons programs.

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