Senior Machine Learning Engineer
Company:Orita
Location:United States, EST
Languages:English
Seniority level:Senior, 5+ years
Experience:5+ years
Skills:
DockerPythonGCPKubeflowKubernetesMachine LearningMLFlowPyTorchPandasSparkTensorflowCI/CDA/B testing
Requirements:
5+ years of full-time software engineering experience At least 3 years working on ML systems Deep knowledge of modern machine learning algorithms Hands-on experience with PyTorch, TensorFlow, XGBoost or equivalent frameworks Feature engineering using aggregations, embeddings, and sub-models Track record building production-scale ML infrastructures, ideally using GCP Familiarity with CI/CD, containerization (Docker/Kubernetes), and distributed training (Spark, Ray, Dask, etc.) Experience iterating models in a production environment Strong proficiency in Python (numpy, pandas, etc.) Experience with scalable data processing (Spark, Ray, BigQuery) Comfortable with advanced experimentation techniques Understanding of performance measurement in real-world deployments
Responsibilities:
Build and Productionize Models Develop Scalable ML Infrastructure Experiment & Optimize Collaborate & Mentor
