Senior Data Engineer

Job Summary

A company is looking for a Senior Data Engineer.

Key Responsibilities

• Deploy production-grade machine learning models, ensuring reliability, low latency, and scalability
• Build and maintain end-to-end ML pipelines, including automated training, evaluation, versioning, deployment, and monitoring workflows
• Establish monitoring frameworks to track model performance, detect drift, and trigger retraining as needed

Required Qualifications

• 4+ years of experience in ML engineering, data engineering, or a related role, with at least 2 years focused on building and deploying machine learning systems in production
• Strong proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Hands-on experience with MLOps tools and platforms (e.g., MLflow, SageMaker, Kubeflow, Vertex AI)
• Solid SQL skills and experience with data warehouses and feature stores
• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Engineering, or a related field