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AI ML Data EngineerDiverse LynxUnited States
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AI ML Data Engineer

Diverse Lynx
  • US
    United States
  • US
    United States

Über

Job Title:
AI ML Data Engineer
Location:
Minnesota, MN
Duration: Fulltime
Skills
:
Python
Salary: 100K
120K/Year
Roles and Responsibilities:
We are seeking a senior, hands on AI/ML Engineer contractor with expert level Python skills and proven experience delivering end to end agentic AI systems to accelerate development of an enterprise AI platform on Azure Databricks.
This role is a strong individual contributor position, requiring deep hands on coding and ownership from design through production.
Design and build agentic AI frameworks end to end, including planning, execution, memory, tool orchestration, and evaluation (not limited to data preparation or tool integration)
Engineer Databricks Lakehouse / Medallion architectures (Bronze, Silver, Gold) using PySpark, Spark SQL, and Delta Lake
Deliver ML ready datasets, feature engineering pipelines, and Feature Store implementations that unblock Data Scientists
Own MLOps foundations using Azure ML and MLflow, including training, validation, promotion, monitoring, and retraining orchestration
Integrate ML models and agentic AI workflows into production grade systems
Operate confidently in PHI/PII regulated environments, enforcing security, governance, and compliance
Scale delivery rapidly in a fast moving, scale up environment
This role requires deep hands on Python development, strong experience with agent orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, or comparable custom implementations), and a proven record of delivering production AI systems in regulated enterprises.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
  • United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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