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AI Data Engineer

2 months, 1 week ago
United States
Full-time
Senior
Data Engineer
Data Science and Analytics
Apache Airflow Apache Spark AWS Azure GCP HIPAA Java Machine Learning Python Scala
Apply Now
C the Signs

C the Signs

C the Signs is a cutting-edge cancer prediction system that uses artificial intelligence to enhance early detection and survival rates. The company is dedicated to reducing healthcare disparities by accelerating early cancer detection, improving patien...

Professional Services
51-250
Founded 2017
View All Jobs 11

Description

  • Collaborate with data scientists and machine learning engineers to define data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store large, diverse healthcare datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure dataset quality and integrity.
  • Implement and maintain data validation and monitoring to ensure the integrity, accuracy, and consistency of training datasets.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Identify and acquire new data sources and ensure compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot production issues, and implement performance and reliability optimizations.
  • Document data engineering processes, data models, and data dictionaries for team use and governance.
  • Stay up-to-date with advancements in data engineering, big data technologies, and machine learning to inform pipeline and data design.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer with a focus on big data technologies.
  • Proficiency in programming with Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (AWS, GCP, or Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks such as Apache Spark for distributed processing.
  • Experience with healthcare data and familiarity with healthcare data standards (e.g., FHIR, HL7) (preferred).
  • Familiarity with machine learning concepts and LLM fine-tuning processes (preferred).
  • Experience with data orchestration tools such as Apache Airflow (preferred).
  • Work authorization: must be a US citizen, Green Card holder, or currently in the US with a valid H‑1B visa.

Benefits

  • Competitive salary and benefits package.
  • Flexible working arrangements with remote or hybrid options.
  • Opportunity to work on AI technology that directly impacts patient outcomes and health equity.
  • Membership on a mission-driven team combining innovation with healthcare impact.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Interested in this position?

Apply directly on the company website

Apply Now

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