Machine Learning Engineer

Implement end-to-end ML workflows on GCP (preferred), integrating data pipelines and model deployment. Work with SQL / PL SQL to clean, transform, and prepare large datasets for ML models. Write efficient Python code, optimize model inference, and develop APIs for model integration. Apply statistical methods to evaluate and improve model performance. Work closely with data engineers, software teams, and product managers to bring ML solutions into production. Implement model monitoring, retraining pipelines, and troubleshooting workflows to keep models accurate over time. Tune hyperparameters, optimize inference speed, and ensure models are cost-effective at scale

Bombora provides intent data to businesses, indicating which companies are actively researching products or services online. This data helps B2B clients, such as sales teams and marketers, identify potential leads and tailor their marketing strategies to improve return on investment (ROI). The company collects data through its B2B Data Co-op and offers analytics tools, allowing clients to subscribe for regular updates and integrate insights into their existing workflows. Bombora's goal is to enable businesses to optimize their marketing and sales efforts by providing valuable insights into potential clients.