Hybrid AI Engineer: Build Production ML for Engineering

Creative Solutions Services, LLC; Reston (VA); Hybrid; USD 82,000 - 106,000; Full time

Benefits offered by this job

Medical, Vision, and Dental Insurance

401k Retirement Fund

Job summary

Creative Solutions Services, LLC seeks an Artificial Intelligence Engineer to design, develop, and deploy AI/ML solutions that enhance engineering, construction, and business processes. You will bridge advanced technology with practical applications, delivering measurable value across projects.

Role requires AI/ML expertise, data governance understanding, and the ability to work across engineering workflows. Hybrid work with specified onsite presence is available.

Qualifications

• Proficiency in Python and AI frameworks (TensorFlow, PyTorch).
• Experience with cloud platforms (Azure AI stack, Databricks).
• Knowledge of MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Strong problem-solving, communication, and collaboration skills.

Responsibilities

• AI Solution Development: Design, build, and implement AI/ML models for predictive analytics, generative design, and automation.
• Data Engineering & Integration: Collaborate with data engineers to develop robust data pipelines and architectures.
• Deployment & Optimization: Deploy AI models on cloud platforms and integrate with client ecosystem; apply MLOps for lifecycle management.
• Collaboration & Stakeholder Engagement: Work with cross-functional teams to align AI with business objectives; communicate complex AI concepts.

Skills

Python

TensorFlow

PyTorch

Azure

Databricks

MLOps

Docker

Kubernetes

CI/CD

Communication

Independent judgment

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related field

Master's degree

Tools

Job description

Creative Solutions Services, LLC seeks an Artificial Intelligence Engineer to design, develop, and deploy AI/ML solutions that enhance engineering, construction, and business processes. You will bridge advanced technology with practical applications, delivering measurable value across projects.

Role requires AI/ML expertise, data governance understanding, and the ability to work across engineering workflows. Hybrid work with specified onsite presence is available.