Über diese Senior AI/ML Engineer, Applications & Automation Stelle bei Imo Online
WHAT YOU’LL DO:
WHAT YOU’LL NEED:
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5+ years across AI/ML engineering, data science, machine learning engineering, or related disciplines, with a foundation in applied machine learning.
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Hands-on experience building agents and agentic workflows, including orchestration and tool or function calling.
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Hands-on experience building RAG solutions, including embeddings, vector databases, semantic search, and context engineering.
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Hands-on MLOps experience taking models and agents into production — deployment, versioning, monitoring, and CI/CD across multiple environments.
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Strong Python proficiency and experience developing maintainable services, APIs, pipelines, or workflow automation, plus working knowledge of SQL and relational databases such as PostgreSQL.
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Experience with cloud-based AI infrastructure, preferably AWS and Amazon Bedrock.
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Strong troubleshooting and root-cause analysis skills, and the ability to partner with domain experts and convert ambiguous workflow needs into scalable technical solutions.
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Clear written and verbal communication in cross-functional environments.
PREFERRED QUALIFICATIONS:
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LangChain or LangGraph, LlamaIndex, OpenSearch, vector databases, or evaluation frameworks.
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Multi-agent or tool-using workflows, including state management, memory, routing, and failure recovery.
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Testing and evaluation approaches for non-deterministic AI systems.
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Healthcare technology, clinical terminology, clinical data normalization, mapping workflows, or regulated data environments.
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Familiarity with healthcare data standards such as knowledge graphs, FHIR, SNOMED CT, LOINC, RxNorm, ICD-10, or CPT.
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AI solutions incorporating human review, auditability, explainability, and quality governance.
