Data Scientist with MLOps

Seeking a Data Scientist with MLOps experience, the fully remote position will manage the full model lifecycle, including research, deployment, and monitoring, while collaborating with engineering and operations teams to deliver impactful machine learning solutions. Key Responsibilities Develop, train, and evaluate machine learning models to address business challenges Own the full ML lifecycle: data preparation, feature engineering, model training, validation, deployment, and monitoring Build and maintain MLOps pipelines using AWS SageMaker Studio, including experiment tracking and automated retraining workflows Required Qualifications 3+ years of experience in data science or a related role with ML engineering and MLOps responsibilities Strong proficiency in Python for data science and ML development (pandas, scikit-learn, PyTorch or TensorFlow) Hands-on experience with AWS SageMaker Studio for model development and deployment Solid understanding of MLOps principles, including model versioning and production monitoring Experience with SQL and working with structured data in cloud data warehouses or relational databases