Machine Learning Engineer - ML Systems
Core
Build, improve, and maintain ML inference pipelines and model-serving workflows for product matching, classification, similarity search, and automated decisioning.
Role type
Machine Learning Engineer (ML Systems)
Builds
Production ML systems for model serving, evaluation, and operationalization
Domain
Machine Learning / Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, TensorFlow, Hugging Face, scikit-learn, model evaluation, error analysis, embeddings, vector search, RAG systems, LLMs, prompt-based evaluation
Preferred skills
None stated
Technologies
PyTorch, TensorFlow, Hugging Face, sentence-transformers
Responsibilities
Build and maintain ML inference pipelines; perform model evaluation and error analysis; collaborate with Data Scientists to operationalize models; develop analytical scripts and dashboards; debug production ML issues; contribute to reusable ML utilities and experimentation workflows
Seniority
Mid-level (2–5 years experience)
