Job Title: AI/ML Engineering Senior Advisor

Job ID: 2025-13489

Job Location: Deerfield, IL (Hybrid – 3 days/week onsite)

# Positions: 1

Work Eligibility: All Work Authorizations are Permitted – No Visa Transfers

What You Will Do:

Work on ML Solution for RxQuality for MFC Project

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 GCP 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