A company is looking for a Data Scientist (MLOps Engineer).
Key Responsibilities
Design, implement, and maintain scalable ML pipelines for deploying machine learning models
Collaborate with data scientists, data engineers, and DevOps for seamless model integration in AWS and Databricks
Build automated workflows for model deployment, monitoring, and retraining to ensure reliability
Required Qualifications
Master's degree in Data Science, Computer Science, Information Technology, Engineering, or related field
Two years of experience in data science or MLOps / DevOps, including ML model deployment
Experience in building CI / CD pipelines for ML models using tools like Git and Jenkins
Knowledge of ML frameworks such as TensorFlow, PyTorch, and scikit-learn
Experience with SQL, Python, Docker, and Kubernetes
Data Scientist • Rochester, Minnesota, United States
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