Related skills
aws databricks pytorch hadoop kafka📋 Description
- Collaborate with ML engineers and analysts to train state-of-the-art ML models.
- Understand metrics needed for model evaluations.
- Perform in-depth data analysis to uncover insights.
- Help improve ML systems via model, data, or experiments.
- Gain hands-on with PyTorch, AWS, Kafka, Databricks.
🎯 Requirements
- Actively pursuing a bachelor's/master's/PhD in CS, IT, or related field.
- Strong interest in ML systems and data-driven impact.
- Understand statistical models and ML/deep learning (clustering, classification).
- Proficient in at least one programming language; knowledge of data structures & algorithms.
- Experience with big data and distributed frameworks (Hadoop, Spark, Hive) preferred.
- Excellent verbal and written communication.
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