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Remote role at recognizable data company with specialized senior AI requirements.
Role requires deep ML/GenAI, MLOps, and enterprise deployment experience, limiting cross-industry transferability.
Explicit 7+ years plus required ML and MLOps/LLM tooling makes filters stringent.
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Design and develop full-stack AI/ML applications on Cloudera platform to solve enterprise use cases, progressing prototypes to production.
Work directly with customer teams advising on AI roadmaps, solution design, deployment, and operationalization within enterprise environments.
Standardize successful AI use patterns into repeatable architectures and contribute feedback to improve Cloudera's AI platform and products.
7+ years of experience building and deploying production-grade systems.
2-4 years of specific experience building ML systems or Generative AI and agentic applications.
Strong hands-on skills in software engineering, data engineering, and applied AI/ML.
Not explicitly mentioned in the JD: educational degree, notice period, or mandatory location constraints.
Experienced full-stack ML engineer comfortable working directly with enterprise customers in a consultative and solution-oriented role.
Proven ability to transition AI prototypes to scalable production solutions using modern AI frameworks and tooling.
Familiarity with MLOps, LLM orchestration, distributed data engineering platforms, and client-facing technical roles preferred.