7 deep learning engineer jobs at 6 companies in Jackson, GA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
EquifaxNew York Stock Exchange: EFX: Provides consumer credit reporting and data analytics services globally.
3+ YOEPhD (3+ years) or MS (5+ years) in a quantitative field; strong deep learning foundation with Transformer experience; proficiency in Python; experience with representation learning, experimentation, and interpretability.
HoneywellNASDAQ: HON: Manufactures aerospace products, building technologies, and industrial control systems.
Bachelor's in a technical discipline required; strong expertise in machine learning and deep learning; leadership experience; excellent communication; ability to work with minimal supervision; U.S. Person required under export control.
AI Engineer/ML Engineer - Senior Developers - AI Training - Atlanta, US
Atlanta or United States
$80/hrRemoteContract, Part Time
Prolific: Platform connecting researchers and AI developers with verified participants.
BS/MS/PhD in CS/AI/Robotics or related; experience building, deploying, or fine-tuning ML models in production; mastery of deep learning and LLM workflows (Prompt Engineering, RLHF, RAG); strong Python and ML tooling skills.
Chicago or Miami or New York City or Oakbrook Terrace or Nashville or South Bend or Tampa or Atlanta or Boston or Dallas or Houston or Grand Rapids or Austin or Charlotte or Indianapolis
$74k-$148k/yrOnsiteFull Time
Crowe: Global professional services firm providing audit, tax, and consulting.
4+ YOE4–6 years AI/ML engineering; strong Python, cloud, distributed systems; deep learning frameworks; VMs and containerization; experience with LLMs and vector databases; travel up to 80%
ZeroRFI: AI-powered intelligence platform for the built environment.
3+ YOEMaster's/PhD or equivalent, 3+ years building and deploying ML models, deep learning expertise (PyTorch), Python and scientific libraries, cloud ML (SageMaker/Vertex AI/Azure ML), containerization (Docker/Kubernetes), strong communication.
HoneywellNASDAQ: HON: Manufactures aerospace products, building technologies, and industrial control systems.
4+ YOEBachelor's in STEM, 4+ years data science and machine learning experience (Python), distributed compute (Spark), cloud model deployment (AWS/Azure/GCP), and deep learning frameworks (PyTorch, Tensorflow, Keras).
12+ YOE5+ MgmtML/AI leadership with deep learning, NLP, MLOps, cloud data platforms (Azure, AWS, GCP), Python/TensorFlow/PyTorch, OpenAI/GPT models, big data tech, AI governance and compliance; 12+ years in AI/data/ML with 5+ years leading teams; experience deploying AI at scale.