Doran Jones

Doran Jones

Doran Jones is a women-owned consulting firm that specializes in providing risk and regulatory compliance services, along with digital and information technology solutions, to financial institutions, utilizing a flexible approach to meet diverse client...

Professional Services
51-250
Founded 2010

Description

  • Design and build scalable data pipelines that support machine learning and AI-driven applications.
  • Develop and maintain ML-ready data infrastructure across structured and unstructured healthcare datasets.
  • Implement data ingestion, transformation, and feature engineering pipelines.
  • Build services that expose ML models and AI capabilities to internal applications and APIs.
  • Work with engineering teams to integrate AI functionality into modernized healthcare platforms.
  • Help migrate legacy data architectures to cloud-native data platforms.
  • Implement best practices for data governance, data quality, and observability.
  • Collaborate with product and engineering teams to deliver AI-powered healthcare solutions.
  • Contribute to ML pipelines, model deployment workflows, and AI platform tooling.

Requirements

  • 5+ years of experience in data engineering, machine learning infrastructure, or AI platform engineering.
  • Strong experience building data pipelines and distributed data systems.
  • Proficiency in Python for data processing and ML workflows.
  • Experience working with cloud platforms such as AWS, GCP, or Azure.
  • Experience with data processing frameworks such as Spark, Airflow, or similar tools.
  • Familiarity with ML lifecycle tools and model deployment workflows.
  • Experience working with large-scale structured and unstructured datasets.
  • Understanding of API-based architectures and microservices.
  • Strong problem-solving skills and ability to work in modern distributed systems.
  • Experience working with healthcare data platforms or regulated environments is preferred.
  • Exposure to LLMs, NLP pipelines, or AI-driven applications is preferred.
  • Experience with feature stores, vector databases, or ML platforms is preferred.
  • Familiarity with modern data lake or lakehouse architectures is preferred.
  • Experience integrating AI services into production applications is preferred.
  • Experience working in modernization or platform transformation initiatives is preferred.

Interested in this position?

Apply directly on the company website

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