Machine Learning Engineer
Core
Develop, deploy, and maintain machine learning models and MLOps infrastructure for data science projects.
Role type
Machine Learning Engineer
Builds
Production ML models and data pipelines
Domain
Technology consulting and software development
Deliverable
production ML models
Required skills
Python, Machine Learning, MLOps, SQL, Docker, ETL, Airflow, Spark, Hive, Cloud platforms (GCP/Azure)
Preferred skills
Advanced Python class design, scientific research background (Physics, Math, Statistics, CS)
Technologies
MLflow, Kubeflow, Polars, TensorFlow, PyTorch, Scikit-Learn, pyspark, Airflow, Docker, GCP, Azure
Responsibilities
Develop machine learning models, implement MLOps best practices, deploy data science models to production, build and maintain data pipelines using ETL and streaming tools.
Seniority
Mid-level, hands-on IC
Sourced via adzuna · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.