AI Developer

Overview

Hybrid
$140,000 - $180,000
Full Time
25% Travel

Skills

AI
Java
Python
ML
Machine Learning
CICD
Artificial Intelligence
Extract
Transform
Load
Continuous Delivery
Machine Learning Operations (ML Ops)

Job Details

Join a new AI-focused initiative building advanced machine learning systems from the ground up. Help shape next-gen tools in a collaborative, fast-paced setting.

Key Responsibilities:

  • Build, deploy, and maintain AI/ML solutions.

  • Collaborate with engineers, analysts, domain experts, and infrastructure teams to integrate and optimize ML models.

  • Own the full AI lifecycle: data prep, modeling, testing, deployment, and monitoring.

  • Partner with DevOps to deliver scalable, reliable cloud-based AI systems.

  • Develop MLOps pipelines for automation, versioning, and CI/CD.

  • Coordinate with data teams to streamline ingestion and preprocessing.

  • Support review and integration of third-party AI tools.

  • Communicate technical concepts to non-technical stakeholders.

Details:
This is a direct hire role with a hybrid setup averaging one day a week in the Marietta office. We offer competitive benefits including retirement match, education support, wellness programs, and family leave.

Required Skills:

  • 5+ years in software development.

  • 3+ years building and deploying AI/ML models.

  • Experience with production AI environments.

  • Strong Python or Java skills.

  • Familiar with ML frameworks (e.g., PyTorch, TensorFlow, Keras, Scikit-learn).

  • MLOps and CI/CD experience.

  • Cloud ML tools (e.g., SageMaker, Azure ML, Vertex AI) and containers (Docker, Kubernetes).

  • Solid understanding of ETL, feature engineering, and data workflows.

  • Experience with REST APIs, microservices, and model serving tools (e.g., FastAPI, Flask).

  • Must pass background and drug screening.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.