AI/ML Engineering

AI/ML Engineering
Deerfield, IL (Hybrid - 3 days/week onsite)

Required:
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