ML/AI Engineer - QMTC
Core
Design, train, evaluate, and ship machine learning models and LLM-based AI capabilities (forecasting, recommendations, agentic flows) for Qmatic's products.
Role type
Senior hands-on ML/AI Engineer
Builds
Forecasting and recommendation models, LLM-based retrieval and agentic self-service flows
Domain
AI/ML, LLMs, Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, scikit-learn, XGBoost/LightGBM, statsmodels, Cloud platforms (Azure/AWS/GCP), MLOps, API design, Data pipeline construction
Preferred skills
Java/Spring, Go, Frontend frameworks (Vue/React), Generative avatar/video rendering, Speech-to-text, Agent orchestration frameworks
Technologies
Python, SQL, scikit-learn, XGBoost, LightGBM, statsmodels, Azure, AWS, Google Cloud, Medallion architecture, Vector databases, RAG pipelines
Responsibilities
Design and ship ML models for forecasting and recommendations; Integrate AI/LLM capabilities into product workflows; Build and maintain data and feature pipelines; Translate technical trade-offs for stakeholders; Troubleshoot production model and data issues
Seniority
Senior, hands-on IC