Machine Learning Engineer
Core
Design and implement scalable systems for serving deep learning and reinforcement learning models, optimizing inference performance, and managing production workflows for a B2B supply chain SaaS platform.
Role type
Senior IC machine learning engineer (deep learning & reinforcement learning)
Builds
Scalable model serving infrastructure and production workflows for supply chain optimization
Domain
Supply chain logistics / AI & Machine Learning
Deliverable
production ML models
Required skills
Python, deep learning frameworks (TensorFlow, PyTorch), GPU programming (CUDA, OpenCL), distributed systems, cloud platforms (Kubernetes, Docker, GCP, AWS), model optimization (quantization, pruning, distillation)
Preferred skills
reinforcement learning algorithms, production API deployment for big data, computer architecture knowledge
Technologies
TensorFlow, PyTorch, CUDA, OpenCL, Kubernetes, Docker, GCP, AWS
Responsibilities
Design scalable model serving systems, optimize inference performance, utilize GPU computing for training/inference, develop production workflows, collaborate on ML system design, monitor production model performance, stay updated on DL/RL research
Seniority
Senior, hands-on IC