Senior AI/ML Engineer & SME — Mission‑Focused AI Systems

NLP PEOPLE; Aurora (CO); On-site; USD 175,000 - 230,000; Full time

Benefits offered by this job

Medical, Dental, Vision (Employer Paid

401k with 6% Match

Paid Holidays

Job summary

DeNOVO Solutions, LLC is seeking a senior AI/ML Engineer SME to lead architecture, design, development, deployment, and optimization of mission-ready AI/ML capabilities. You will guide data engineering, model development, governance, and secure deployment across platforms.

You will oversee NLP, generative AI, computer vision, and predictive analytics while collaborating with cross-functional teams and program leadership. Strong cloud/MLOps experience is essential.

Qualifications

• Ten (10) or more years of software/AI/ML experience.
• At least five (5) years deploying production AI/ML solutions.
• Experience with cloud AI platforms and MLOps.

Responsibilities

• Lead architecture, design, development, and implementation of AI/ML systems.
• Develop, train, validate, optimize, and deploy models.
• Apply NLP, generative AI, CV, and predictive analytics techniques.
• Evaluate new AI technologies and establish governance and MLOps practices.
• Provide technical oversight for data engineering, deployment pipelines, and lifecycle management.
• Advise leadership on AI strategy and risk, architecture decisions, and responsible AI.

Skills

TensorFlow

PyTorch

Scikit-learn

Keras

MLflow

MLOps

AWS

GCP

Azure

NLP

Computer Vision

Production ML

Education

Bachelor's degree in CS/DS/Engineering/Math/Stats

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

MLflow

Job description

DeNOVO Solutions, LLC is seeking a senior AI/ML Engineer SME to lead architecture, design, development, deployment, and optimization of mission-ready AI/ML capabilities. You will guide data engineering, model development, governance, and secure deployment across platforms.

You will oversee NLP, generative AI, computer vision, and predictive analytics while collaborating with cross-functional teams and program leadership. Strong cloud/MLOps experience is essential.