Senior AI Engineer with Databricks

We are looking for a hands-on AI/Machine Learning Engineer with proven experience deploying and running optimized feature engineering (offline and online), model training, and inference pipelines. Experience with unstructured data processing and Spark Streaming is a must. Real-time feature generation and inference are required for this project, along with batch pipelines for model training. Responsibilities Design and optimize feature engineering pipelines for both batch and real-time workloads

We are looking for a hands-on Senior AI Agent Developer to build, deploy, and maintain ML/AI solutions in production, bringing strong end-to-end experience from model development through deployment, monitoring, and scaling. Responsibilities Design, build, and optimize ML/AI models and pipelines Deploy models to production, ensuring scalability, reliability, and performance Build and maintain MLOps workflows, including CI/CD, model monitoring, and retraining Work with large-scale data to engineer

Role: Data Engineer Location: Cincinnati, OH (Local Preferred; Open to Strong Remote Candidates) Role: Data Engineer Location: Cincinnati, OH (Local Preferred; Open to Strong Remote Candidates) Duration: 12-month contract, with a high likelihood of extension/conversion Requirement Description: Work Authorization: Available on W2 or C2C basis Interview Process: Ropes Assessment Internal Screening with Account Executive Technical panel team Feedback Timeline: 24-48 hours after interview Start Date

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible