Lead Engineer AI/ML - Onsite
Core
Design, build, test, and optimize production machine learning systems and inference pipelines for enterprise AI initiatives across retail, operations, merchandising, and supply chain.
Role type
Lead Machine Learning Engineer (Production Systems)
Builds
Production-ready model code, inference logic, reusable ML components, and integrated AI solutions for enterprise use cases.
Domain
Retail, Operations, Supply Chain, Enterprise IT
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, model deployment, API development, automated testing, data preprocessing, model optimization, cloud ML platforms, event-driven architectures, distributed inference
Preferred skills
ONNX, TensorRT, OpenVINO, quantization, Azure Machine Learning, Databricks, MLflow, real-time AI systems, high-throughput event processing, security and privacy governance
Responsibilities
Design and evaluate ML models and inference pipelines; build production-quality Python code for training and inference; partner with Data Scientists on ground truth and evaluation metrics; deploy and monitor models in cloud/edge environments; optimize inference for latency and cost; integrate model outputs with APIs and enterprise systems; troubleshoot model failures and data drift; document model assumptions and production readiness.
Seniority
Senior, hands-on IC with leadership responsibilities