Senior Machine Learning Engineer
Core
Design, develop, and implement cutting-edge machine learning models to solve complex challenges and enhance business processes by transforming data into actionable insights.
Role type
Senior IC machine learning engineer (infrastructure & model lifecycle)
Builds
Production ML models, scalable data pipelines, and AI/ML inference infrastructure
Domain
Artificial Intelligence / Machine Learning / Big Data
Deliverable
production ML models | infrastructure
Required skills
Machine Learning, Deep Learning, Python, C++, PyTorch, Kubernetes, CUDA, Algorithms, Big Data, Natural Language Processing, Model Quantization, Vector Databases, LLM Eval, LLMOps, Retrieval-Augmented Generation (RAG), vLLM
Preferred skills
AWS Certified Machine Learning Specialty
Technologies
PyTorch, Kubernetes, CUDA, vLLM, Vector Databases
Responsibilities
Architect and develop integrated software solutions for the lifecycle of ML models; build and maintain robust data pipelines in distributed environments; define collection protocols and train/evaluate models; optimize scalable processes for large-scale data operations; integrate models into production systems with DevOps; manage compute cluster environments for model hosting and serving.
Seniority
Senior, hands-on IC