Senior AI Data Engineer
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Summary
Senior AI Data Engineer who builds and maintains the data infrastructure and pipelines powering AI/ML workloads. Day to day involves working with Python, Databricks, Apache Spark, and ML frameworks like PyTorch or TensorFlow to support the machine learning lifecycle.
Required Skills and Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. 5-7 years of hands-on experience in data engineering, with at least 2 years focused on AI/ML workloads. Expert proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn. Strong experience with Databricks, Apache Spark, and distributed computing for ML workflows. Deep understanding of the machine learning lifecycle, inc…