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At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. As an Associate Solutions Engineer, you will partner and collaborate with the sales team to design, present, and prove Cloudera’s hybrid data platform and AI/ML solutions to end customers. This role requires deep technical expertise, hands-on development skills, and the ability to translate complex concepts into clear, compelling business value for enterprise customers.
Job Responsibility:
Lead discovery sessions with enterprise customers to understand business objectives and technical requirements
deliver impactful presentations, whiteboard sessions, and product demonstrations that clearly convey architectural concepts and value propositions
drive proof-of-concept (POC) projects, including setup, data integration, and performance validation
architect end-to-end data pipelines and AI/ML workflows using Cloudera Data Platform (CDP) across on-prem, hybrid, and public cloud deployments
design scalable solutions covering data ingestion, streaming, data lakes/warehouses, and machine-learning lifecycle management
recommend cluster sizing, performance tuning, and security/governance best practices
build and deploy ML models using Python, Scala, or Java with frameworks such as PyTorch, TensorFlow, or Spark MLlib
develop reproducible pipelines for model training, testing, and deployment (MLflow, Kubeflow, or equivalent)
collaborate with customer data science teams to accelerate the adoption of Cloudera Artificial Intelligence (CAI) and Agentic workflows ecosystems