AI/ML Engineering Senior Advisor - Deerfield, IL (Only locas) - Fulltime Position

Overview

On Site
Depends on Experience
Full Time

Skills

Machine Learning (ML)
Artificial Intelligence
Amazon Web Services
Cloud Computing
Google Cloud Platform
Kubernetes
MFC
Machine Learning Operations (ML Ops)
Python
PyTorch
TensorFlow
Keras
OpenCV
DVC
MLflow
Git
CI/CD

Job Details

AI/ML Engineering Senior Advisor

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

Fulltime Position

Key Technology: Python, TensorFlow, PyTorch, Keras, OpenCV, DVC, MLflow, Git, CI/CD

  • Work on ML Solution for RxQuality for MFC Project
  • 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.
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