About the role
We are looking for a seasoned, full-stack ML engineer who can embed with customers to design technical use cases and ship scalable enterprise AI/ML solutions on the Cloudera platform.
Responsibilities:
- Develop full-stack AI/ML applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases.
- Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness.
- Advise customer leaders on AI roadmaps, solution design, deployment, and AI use cases.
- Standardise successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks.
- Act as a thought leader, mentor Cloudera teams, and contribute to resources that grow our overall AI capability.
- Channel field and customer feedback back to Product teams to continuously improve our AI platform and products.
Requirements:
- 7+ years of experience building and deploying production-grade systems.
- 2-4 years of experience specifically focused on building ML systems or GenAI and agentic applications.
- Strong hands-on software engineering, data engineering, and applied AI/ML skills.
- Demonstrated experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling.
Good to Have:
- Experience with MLOps frameworks, LLM orchestration, and modern AI stacks (e. g., LangChain, LlamaIndex, vLLM, Ray, MLflow).
- Hands-on experience with Vector Databases and Retrieval-Augmented Generation (RAG) architectures.
- Background in client-facing consulting, technical account management, or solution architecture within enterprise environments.
- Familiarity with distributed data engineering platforms (Apache Spark, Iceberg, Kubernetes).