Overview
On Site
Full Time
Skills
System Deployment
Python
Machine Learning (ML)
TensorFlow
PyTorch
Keras
OpenCV
Computer Vision
Optical Character Recognition
Training
Machine Learning Operations (ML Ops)
Git
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Generative Artificial Intelligence (AI)
LangChain
Workflow
Statistics
Optimization
Deep Learning
SANS
Artificial Intelligence
Job Details
Title: Senior AI/ML Engineering
Location: Deerfield, IL - Hybrid Position
Duration: Full Time
Job Description:
- 7+ years of hands-on experience in applied machine learning, deep learning, and AI system deployment
- Strong Python engineering background with ML/DL frameworks: TensorFlow, PyTorch, Keras, OpenCV
- Proven experience in Computer Vision tasks, including object detection, segmentation, and OCR
- Experience training and fine-tuning models such as: YOLOv5/v8, EfficientNet, Faster-RCNN, TrOCR, Vision Transformers (ViT)
- Practical experience building and serving REST APIs for inference (TF Serving, TorchServe, FastAPI)
- Hands-on with MLOps tools: DVC, MLflow, Git, CI/CD, containerization (Docker/Kubernetes)
- Cloud deployment experience (Azure preferred; AWS or Google Cloud Platform acceptable)
- LLM/GenAI experience: building, fine-tuning, or prompting models such as GPT-4, LLaMA, Claude, etc.
- Familiarity with RAG (Retrieval-Augmented Generation) pipelines and integration into enterprise systems
- Understanding of Agentic AI architectures (e.g., LangChain, CrewAI, AutoGPT) for orchestrated task agents or workflow automation
- Strong foundations in statistics, optimization, and deep learning principles
- Clear understanding of AI governance, fairness, and model explainability
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.