Data Engineer med fokus på MLOps
Core
Building a foundational platform for AI usage and implementing MLOps practices within a creative team.
Role type
Data Engineer with MLOps focus
Builds
AI usage platform, containerized ML services
Domain
AI/ML infrastructure, Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, FastAPI, async programming, PyTorch, Scikit-learn, NumPy, Docker, PostgreSQL, MLFlow, bash/shell
Preferred skills
React, experience with other databases
Technologies
FastAPI, PyTorch, Scikit-learn, NumPy, Docker, PostgreSQL, MLFlow, React
Responsibilities
Design and build the AI usage platform from scratch, implement MLOps workflows, develop containerized ML services, integrate data science packages into production pipelines
Seniority
Mid-level, hands-on IC
Sourced via smartrecruiters · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.