AI​/ML Engineering Senior Advisor

Job Information

• Job Title:
  
  AI/ML Engineering Senior Advisor
• Job Location:
  
  Deerfield, IL (Hybrid - 3 days/week onsite)
• # Positions: 1
• Employment Type:
  
  Full-time
• Duration:
  Long Term
• Key Technology:
  Python, Tensor Flow, 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:
  Tensor Flow, 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, Efficient Net, Faster-RCNN, TrOCR, Vision Transformers (ViT)
• Practical experience building and serving REST APIs for inference (TF Serving, Torch Serve, 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., Lang Chain, 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

• Seniority level:
  Mid-Senior level
• Job function:
  Other
• Industries: IT Services and IT Consulting