5 applied ml engineer jobs at 3 companies in Grandview, MO
2w
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AI/ML Engineer II
Leawood or McLean
OnsiteFull Time
3+ YOEB.S./M.S. in CS or related,3–6 years applied ML/NLP experience,strong Python skills,experience with Transformers,spaCy,scikit-learn,PyTorch,cloud and containerized deployments,eligible for US security clearance; U.S. citizenship required.
Python, Transformers, spaCy, scikit-learn, PyTorch, MLflow, DVC, Kubeflow, SageMaker
1w
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Sr AI Context Engineer
Lee's Summit or Missouri or Alaska or Hawaii or California or Washington or Oregon or Colorado or Wyoming or Montana or New York or Connecticut or Vermont or Pennsylvania or Maine or United States
$125k-$158k/yr RemoteFull Time
5+ YOE5+ years backend/software or applied ML experience, 1–2 years GenAI/RAG focus, strong Python and SQL, experience with vector search, document parsing, HIPAA-compliant handling of PHI, and retrieval evaluation.
Python, SQL, Airflow, Prefect, Temporal, LlamaIndex, Unstructured.io, LangChain, Pinecone, pgvector, Azure AI Search, Weaviate, Qdrant, Ragas, TruLens, Arize Phoenix
1mo
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Data Scientist I - Applied AI (5030)
Kansas City, Missouri, United States
OnsiteFull Time
2+ YOEBS in engineering or data science or 2 years relevant experience; US citizenship and ability to obtain DOE security clearance; software‑engineering discipline, ML/AI and LLM/NLP/RAG familiarity.
version control, CI/CD, LLMs, NLP, RAG
1mo
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Data Scientist II - Applied AI (5031)
Kansas City, Missouri, United States
OnsiteFull Time
2+ YOE2+ years data science experience or BS in engineering/data science (or 2 years experience in lieu), U.S. citizenship, ability to obtain DOE security clearance, strong ML/AI and software‑engineering skills.
Spark, Kafka, Git, Azure, AWS, LLMs, NLP, RAG, CI/CD
1mo
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Sr Data Scientist - Applied AI (5032)
Kansas City, Missouri, United States
OnsiteFull Time
5+ YOE5+ years data science experience, US citizenship, ability to obtain DOE security clearance, strong ML/AI and software-engineering skills, experience with cloud deployment and big-data frameworks.
JavaScript, Python, Java, C++, SQL, Spark, Kafka, Azure, AWS, CI/CD, LLMs, NLP, RAG