AI/ML Engineering Senior Consultant at Deerfield, IL (Hybrid)

  • Deerfield, IL
  • Posted 43 days ago | Updated 17 days ago

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Artificial Intelligence
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Machine Learning Operations (ML Ops)
Microsoft Azure
PyTorch
Python
TensorFlow
Workflow
Kubernetes
Cloud Computing

Job Details

Position :- AI/ML Engineering Senior Consultant
Location :- Deerfield, IL (Hybrid - 3 days/week onsite)
Type :- Contract
Job Description
Job Responsibilities:
  • Work on ML Solution for RxQuality for MFC Project
Skills and Experience Required:
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
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