What are the responsibilities and job description for the AI/ML Engineering Senior Advisor position at ExecutivePlacements.com?
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, 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 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
- Seniority level: Mid-Senior level
- Job function: Other
- Industries: IT Services and IT Consulting