Databricks Ai Engineer

As a Databricks AI Engineer at our client's global digital transformation and marketing technology services firm, your role will involve designing, developing, and optimizing advanced AI and ML solutions on the Databricks platform. Your expertise in data engineering, machine learning, natural language processing, and computer vision will be crucial in building and deploying scalable models using Databricks tools and frameworks. **Key Responsibilities:** - 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. **Required Skills:** - Proficient in Python and SQL for data analysis, modeling, and database management. - Experience with regression, decision trees, SVM, deep learning (CNNs, RNNs, Transformers), and advanced AI (GNNs, RL, GANs, LLMs such as GPT-4, Claude, LLaMA). - Strong in NLP (NER, sentiment analysis, summarization) and computer vision (YOLO, ResNet, segmentation, OCR). - Hands-on with TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face Transformers, Spark MLlib. - Expertise in Databricks Notebooks, MLflow, AutoML, Delta Lake, Unity Catalog, Feature Store, Model Serving, and Lakehouse AI. **Eligibility / Qualifications:** - Bachelors degree in IT, Computer Science, Engineering, or equivalent. As a Databricks AI Engineer at our client's global digital transformation and marketing technology services firm, your role will involve designing, developing, and optimizing advanced AI and ML solutions on the Databricks platform. Your expertise in data engineering, machine learning, natural language processing, and computer vision will be crucial in building and deploying scalable models using Databricks tools and frameworks. **Key Responsibilities:** - 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. **Required Skills:** - Proficient in Python and SQL for data analysis, modeling, and database management. - Experience with regression, decision trees, SVM, deep learning (CNNs, RNNs, Transformers), and advanced AI (GNNs, RL, GANs, LLMs such as GPT-4, Claude, LLaMA). - Strong in NLP (NER, sentiment analysis, summarization) and computer vision (YOLO, ResNet, segmentation, OCR). - Hands-on with TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face Transformers, Spark MLlib. - Expertise in Databricks Notebooks, MLflow, AutoML, Delta Lake, Unity Catalog, Feature Store, Model Serving, and Lakehouse AI. **Eligibility / Qualifications:** - Bachelors degree in IT, Computer Science, Engineering, or equivalent.