Artificial Intelligence (AI) and Machine Learning (ML) Engineer – Subject Matter Expert (SME)

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

Artificial Intelligence (AI) & Machine Learning (ML) Engineer - Subject Matter Expert (SME)

Location: Aurora, CO

Clearance: TS/SCI with Polygraph

Lead The Development Of Mission-Ready AI/ML Capabilities

DeNOVO Solutions is seeking an Artificial Intelligence (AI) and Machine Learning (ML) Engineer - Subject Matter Expert (SME) to serve as a senior technical authority responsible for the architecture, design, development, deployment, and optimization of advanced AI/ML capabilities.

This role provides strategic guidance and technical leadership across the full AI/ML lifecycle, including data preparation, model development, evaluation, deployment, monitoring, governance, and continuous improvement.

The AI/ML Engineer SME will apply deep technical expertise across machine learning, natural language processing (NLP), generative AI, computer vision, predictive analytics, and emerging AI technologies to solve complex mission challenges. You will work closely with mission stakeholders, data scientists, software engineers, architects, and program leadership to translate operational requirements into secure, scalable, reliable, and production-ready AI-enabled capabilities.

What You’ll Do

Lead the architecture, design, development, and implementation of enterprise and mission-focused AI/ML systems, platforms, and capabilities.Develop, train, validate, optimize, and deploy machine learning and deep learning models.Apply advanced AI techniques across areas such as NLP, generative AI, computer vision, predictive analytics, and related emerging technologies.Evaluate emerging AI technologies, frameworks, models, and methodologies to identify opportunities for improved mission effectiveness.Establish and mature AI/ML engineering best practices, technical standards, model validation procedures, governance frameworks, and MLOps processes.Provide technical oversight for data engineering, feature development, model performance monitoring, deployment pipelines, and AI/ML lifecycle management.Design and guide scalable approaches for model deployment, inference, monitoring, retraining, versioning, and sustainment.Advise program and organizational leadership on AI strategy, technology roadmaps, technical risk, architecture decisions, and responsible AI implementation.Ensure AI/ML solutions align with applicable cybersecurity, data privacy, ethical AI, governance, and regulatory requirements.Collaborate with cross-functional technical teams to integrate AI/ML capabilities into operational software platforms and mission systems.Mentor engineers and data scientists while providing technical guidance, design reviews, and engineering oversight.Serve as a primary technical authority and trusted advisor for AI/ML-related initiatives.

What You Bring

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline.Ten (10) or more years of relevant experience in software engineering, data science, artificial intelligence, machine learning, or a related technical field.At least five (5) years of hands-on experience developing and deploying production AI/ML solutions.Demonstrated expertise with modern AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, Keras, MLflow, or equivalent technologies.Experience designing, deploying, or supporting AI/ML solutions within cloud-based environments and AI/ML platforms.Strong understanding of machine learning algorithms, deep learning architectures, model evaluation, optimization, and production deployment.Strong knowledge of software development methodologies, data architectures, APIs, distributed systems, and modern application development practices.Demonstrated experience with MLOps, CI/CD for machine learning, model versioning, monitoring, lifecycle management, and governance.Ability to translate complex operational or mission requirements into scalable technical solutions and actionable engineering strategies.Strong technical leadership, communication, collaboration, and mentoring skills.

The Impact You’ll Make

As an AI/ML Engineer SME at DeNOVO Solutions, you will help shape how advanced artificial intelligence capabilities move from research and experimentation into secure, reliable, and operational mission solutions. Your technical leadership will influence architecture, engineering standards, technology strategy, and the development of next-generation AI-enabled capabilities supporting some of the nation’s most complex mission challenges.

Salary Range: $175,000.00 to $230,000.00

Note: The above salary range is a guideline and represents a broad spectrum of potential compensation. We recognize that a candidate’s unique experience and qualifications may justify compensation beyond this range. Therefore, we remain open to considering higher salary offers for exceptionally qualified candidates.

About Us:

DeNOVO Solutions. We make improving the competitive position of our customer paramount in importance and work collaboratively to ensure the best service possible. DeNOVO Solutions provides cleared personnel and cost competitive solutions to our customers. We strive to be the leader amongst small businesses in the Intelligence Community and provide personnel with talent & skills equal to the larger companies.

Join Our Team!

DeNOVO Solutions, LLC, a Minority Owned-Service Disabled Veteran Owned Small Business (MO/SDVOSB) dedicated to providing the best technical and professional services throughout the Intelligence Community (IC). We offer the following as part of our benefits package to all of our full-time employees:

Medical, Dental, and Vision Premiums 100% Employer Paid for you and your legal dependents or plus up, cost split plan.DeNOVO Paid Health Reimbursement Account (HRA)401k with 6% Match11 Paid Federal Holidays120 hours of Paid Time Off (PTO)Company Outings and TripsTuition Reimbursement, Skillset Training, and New/Renewed Certification assistanceHomeFundIt Company Down Payment Match - Employer match towards the down payment of buying a new home

DeNOVO Solutions is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law.

Company:

DeNOVO Solutions, LLC

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, Natural Language Processing, NLP, Predictive Analytics, United States