NLP Data Engineer

TechDigital Group; Charlotte (NC); On-site; USD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a Sr NLP Data Engineer to play a pivotal role in designing and developing data pipelines for machine learning applications in the medical field. This position focuses on enhancing ETL pipelines and automating cloud processes, requiring strong technical skills in Python and SQL. The ideal candidate will have experience in cloud environments and a solid understanding of text processing algorithms. Join this forward-thinking company to contribute to impactful machine learning solutions that drive advancements in healthcare technology.

Qualifications

• 2+ years of experience with ETL pipelines in cloud environments.
• Strong background in Machine Learning Ops with cloud platform integrations.

Responsibilities

• Enhance ETL pipelines and maintain experimental tracking dashboards.
• Collaborate with engineers to ensure repeatable data processes.

Skills

Python

SQL

ETL Pipelines

Machine Learning Ops

Cloud Computing

Text Processing

Education

Undergraduate degree in a computational domain

M.S. or PhD in a computational domain

Tools

AWS SageMaker

AzureML

PyTorch

Job description

Sr NLP Data Engineer – Machine/Deep Learning Focus
Job Details:
The Sr NLP Data Engineer is a key technical contributor in the design and development of data pipelines and data automations for training and monitoring models for machine learning medical applications. The Sr NLP Engineer works closely with software engineers, data scientists, and dev-ops engineers to ensure that data processes are repeatable and easily monitored in production.

Primary responsibilities include the enhancement of ETL pipelines, cloud automations, and experimental tracking and dashboard maintenance. Work will involve engineering focused tasks to support data acquisition and organization, as well as automation-focused work in cloud environments.

The successful candidate will have a strong background in Machine Learning Ops, with a focus on cloud platform integrations. The successful candidate will have proven success in supporting machine learning solutions in production environments. Strong technical skills are required.

Qualifications - External
Required Qualifications:
-- Undergraduate degree in a computational domain
-- 2+ years of related professional work experience working with ETL pipelines in cloud environments (AWS SageMaker, AzureML)
-- Strength and experience with Python programming language and SQL query syntax
-- Experience with cloud computing processes in a clustered computing environment
-- Knowledge of algorithms and techniques within a computational domain with emphasis on text processing

Preferred Qualifications:
-- M.S. or PhD in a computational domain
-- Experience with PyTorch
-- Azure ML and/or AWS
-- Experience within the medical domain