Databricks AI Engineer
2 days ago
Role & responsibilities
- Programming & Query Languages: Proficient in Python and SQL for data analysis, modeling, and database management.
- Machine Learning & AI Models: Experience with regression, decision trees, SVM, deep learning (CNNs, RNNs, Transformers), and advanced AI (GNNs, RL, GANs, LLMs such as GPT-4, Claude, LLaMA).
- Natural Language & Vision AI: Strong in NLP (NER, sentiment analysis, summarization) and computer vision (YOLO, ResNet, segmentation, OCR).
- Frameworks & Libraries: Hands-on with TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face Transformers, Spark MLlib.
- Databricks Ecosystem: Expertise in Databricks Notebooks, MLflow, AutoML, Delta Lake, Unity Catalog, Feature Store, Model Serving, and Lakehouse AI.
Preferred candidate profile
- Design and implement scalable AI/ML solutions using Databricks, MLflow, Delta Lake, and Lakehouse AI.
- Develop and deploy machine learning models (classical ML, deep learning, and generative AI) for business applications.
- Collaborate with data scientists and engineers to prepare, clean, and manage large datasets for analysis and modeling.
- Implement NLP and Computer Vision solutions using frameworks like Hugging Face, YOLO, and ResNet.
- Manage model lifecycle including experimentation, versioning, deployment, and monitoring in Databricks.
- Ensure data governance and compliance using Unity Catalog and Feature Store.
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