Databricks Engineer (Contract)

ResponsibilityCollaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business valueResearching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g., agentic, LLM, predictive, fraud/anomaly detection, text analytics, customer segmentation), Integrate Databricks with cloud platforms such as AWS, Azure or GCP and Implement CI/CD pipelines for Databricks projects.Data wrangling & analysis - preprocessing, cleaning and feature engineeringSupporting daily operations and maintenance of deployed data science models and products, including assistants on PAIR/AIBotsDeveloping backend APIs and services to support AI model deployment and integrationBuilding frontend interfaces and user experiences for AI-powered applicationsDocumenting changes to existing productsReviewing and implementing fixes for reported security vulnerabilities.RequirementsMinimum of a bachelor's degree in computer science, computer engineering, machine learning/data science/AI or related disciplines;Able to to understand and apply a range of AI/ML techniques for regression and classificationFamiliar with popular Python packages (e.g., pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy)Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)Experience with context engineering techniques and prompt optimization strategiesProficient in git, SQLProficiency in business intelligence tools (e.g., Tableau, Qlik, MS Power BI, Microstrategy)