Solutions Engineer • Senior

Who you are

You are a seasoned professional with extensive experience in machine learning and data science, ideally with a strong background in architecting production-grade ML applications. Your expertise in AI and GenAI technologies positions you as a trusted advisor to both customers and internal teams. You have a passion for mentoring others and are committed to continuous learning, particularly in the evolving landscape of ML technologies. You thrive in collaborative environments, working closely with solution architects and engineering teams to deliver impactful solutions.

Desirable

Experience with large language models (LLMs) and MLOps practices is a plus, as is familiarity with cloud-native services. You understand the nuances of integrating ML workloads into existing systems and can effectively communicate complex technical concepts to diverse audiences.

What you'll do

In this role, you will architect and implement production-level ML workloads for Databricks customers, leveraging the unified platform to create end-to-end ML pipelines. You will provide advanced technical support during the sales process, guiding solution architects through the intricacies of feature engineering, model training, and monitoring. Your collaboration with product and engineering teams will ensure that customer feedback shapes the product roadmap, enhancing the adoption of Databricks' ML offerings. You will also play a key role in building customer data science workloads, applying best practices in MLOps to ensure successful deployment across various domains.

What we offer

At Databricks, you will be part of a dynamic team that values innovation and collaboration. We offer opportunities for professional growth and development, as well as a supportive environment where your contributions can make a significant impact. Join us to help shape the future of data intelligence and machine learning solutions.