Junior Machine Learning Engineer

Responsibilities

• Create and maintain MLOps pipelines that support automatic retraining and deployment of our models.
• Establish version control and best practice CI/CD around model deployment.
• Deploy and optimize a wide range of ML models created by our data scientists in the cloud.

Qualifications

• Experience in DevOps and/or MLOps establishing CI/CD for large machine learning models
• *Strong bonus experience: 1 - 2 years of deep learning/computer vision/natural language processing/machine learning/computer science with equivalent industry experience (or, in exceptional cases, BS with a proven track record of relevant industry or transferrable experiences).
• Proficiency in common machine learning packages such as Scikit-learn, TensorFlow, PyTorch, etc.
• Proficiency with MLOps frameworks such as MLFlow, Kubeflow, TFX, Airflow, etc.
• Familiarity with algorithms, such as clustering, forecasting, anomaly detection, classification, and graph networks.
• Comfortable working with cloud Infrastructure (AWS, GCP, Azure, etc.)