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