Data Engineer, Robert Half

Robert Half

Location:
United States, Philadelphia

Category:
IT - Software Development

Contract Type:
Contract work

Salary:

Not provided

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Job Description:

We are seeking a talented Data Engineer to join a cutting-edge team supporting machine learning (ML) research efforts. This role focuses on building and optimizing data pipelines and infrastructure to enable more efficient ML model development and deployment. As a key collaborator with ML and NLP teams, you’ll work on infrastructure solutions for faster model building, optimization, and production deployment. If you're a hands-on engineer with strong cloud infrastructure experience, particularly with AWS, and a passion for enabling ML research, we want to hear from you!

Job Responsibility:

Design, build, and maintain data pipelines and ML infrastructure to support AI/ML research teams
Collaborate with ML and NLP scientists to address content retrieval needs and build search-related solutions
Create scalable solutions using technologies like Python, Airflow, Databricks, Kubernetes, and AWS
Optimize Databricks notebooks using PySpark, structure ML pipelines, and assist with model production workflows
Develop and deploy REST APIs for model serving and infrastructure communication
Maintain and support Kubernetes clusters for model deployment in production environments
Focus on content retrieval and database query solutions, contributing backend querying expertise (Java, Kotlin, Go)

Requirements:

Strong background in AWS infrastructure with the ability to hit the ground running
Skills in Kubernetes, especially for deploying models in containerized environments
Proficiency in Airflow for robust and scalable data pipeline development
Demonstrated expertise in Python, especially for microservices and pipelines
Ability to collaborate with ML teams without direct modeling responsibilities

Nice to have:

Databricks
PySpark
Pytorch
Content Retrieval/Database Querying (Java, Kotlin, Go)
ML pipelines

What we offer:

Work closely with top-tier AI/ML research teams on cutting-edge initiatives
Develop tools and infrastructure that drive innovation in AI and NLP
Competitive compensation with benefits (health, vision, dental)

Additional Information:

Job Posted:
May 15, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Data Engineer