5 дней назад
Senior Data Scientist (Consultant) (RAG/AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Consultant) (RAG/AI): Building and deploying production-grade retrieval-augmented generation solutions and explainable machine learning systems with an accent on retrieval quality, statistical modeling, and human-in-the-loop controls. Focus on designing resilient data pipelines, evaluating grounding and hallucination risk, and delivering auditable AI services in regulated environments.
Location: Detroit, Michigan; hybrid/onsite attendance required Tuesday through Thursday
Company
provides staffing and consulting services for technology and business roles.
What you will do
- Build, deploy, monitor, and support production-grade RAG solutions across the full AI lifecycle.
- Develop supervised and unsupervised machine learning models for classification, ranking, clustering, anomaly detection, and predictive modeling.
- Design explainable and auditable AI systems with human review, escalation, override, and feedback mechanisms.
- Build enterprise copilots, assistants, and document-grounded decision-support systems using embeddings, semantic search, re-ranking, and vector databases.
- Develop maintainable Python services, APIs, tests, CI/CD pipelines, and containerized deployments.
- Design resilient ingestion and integration pipelines for documents, metadata, attachments, and changing source-system records.
Requirements
- Senior-level experience successfully building and deploying at least one production-grade RAG solution.
- Strong expertise in classical machine learning, statistics, model evaluation, and explainability techniques such as SHAP and LIME.
- Advanced Python skills with Pandas, NumPy, scikit-learn, and PyTorch or a similar deep learning framework.
- Experience with Git, code reviews, unit and integration testing, CI/CD, API development, and Docker or Podman.
- Strong SQL and ETL/ELT skills, including REST APIs, PostgreSQL, SQL Server, data lakes, data lineage, and data quality controls.
- Ability to work in Detroit in a hybrid/onsite arrangement Tuesday through Thursday.
Nice to have
- Experience with open-source or locally hosted large language models.
- Experience with agentic development.
- Experience working across local and cloud environments.
Culture & Benefits
- W2 contract employment for 12 months, with an opportunity to extend.
- Competitive compensation with benefits.
- Work involving regulated, human-in-the-loop AI environments.
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