Machine Learning Engineer
Core
Design and implement scalable systems for serving deep learning and reinforcement learning models, optimizing inference performance, and managing production workflows.
Role type
Senior IC machine learning engineer (deep learning & reinforcement learning)
Builds
Scalable model serving systems and production workflows for Quincus supply chain SaaS products
Domain
B2B supply chain / logistics / AI
Deliverable
production ML models
Required skills
Python, deep learning frameworks (TensorFlow, PyTorch), GPU programming (CUDA, OpenCL), distributed systems, cloud platforms (Kubernetes, Docker, GCP, AWS)
Preferred skills
reinforcement learning algorithms, production deployment of ML models, APIs for big data, computer architecture, performance optimization
Technologies
TensorFlow, PyTorch, CUDA, OpenCL, Kubernetes, Docker, GCP, AWS
Responsibilities
Design scalable systems for serving deep learning and reinforcement learning models; Optimize inference performance using quantization, pruning, and distillation; Utilize GPU computing to accelerate model training and inference; Develop and deploy production workflows for training and serving ML models; Monitor and improve performance of ML models in production; Stay up-to-date with latest research in deep learning and reinforcement learning
Seniority
Senior, hands-on IC
