Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
100% Travel
Skills
Artificial Intelligence
Deep Learning
Generative Artificial Intelligence (AI)
Keras
Machine Learning (ML)
LangChain
OpenCV
Python
PyTorch
Fine-Tuning Models
YOLOv5/v8
EfficientNet
Faster-RCNN
TrOCR
RAG
GPT
Azure
Job Details
Role: AI/ML Engineering Senior Advisor
Location: Deerfield, IL (Hybrid - Onsite)
Visa: No OPTs, GC
Required:
- 10 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.
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