AI Data Engineer — Computer Vision Pipelines

Accenture Federal Services; Tampa (FL); Presencial; USD 89 000 - 170 000; Tempo integral

Resumo da oferta

Accenture Federal Services is seeking a highly skilled Data Engineer to design and maintain data pipelines for computer vision workloads, handling image, video, and metadata assets. You will implement automated workflows with NiFi and Prefect, and build high‑performance media processing services using Java, FFmpeg, and OpenCV.

The role involves containerizing services with Docker, collaborating with CV engineers, MLOps, and platform teams, and optimizing pipelines for speed, accuracy, and cost.

Qualificações

• Proven experience building and maintaining computer vision or media-centric data pipelines.
• Strong ETL background involving complex transformations and metadata handling for media.
• Hands-on experience with NiFi, Prefect, Docker, FFmpeg, OpenCV.
• Experience with images, videos, and related metadata structures.
• Familiarity with distributed systems and scalable data processing patterns.

Responsabilidades

• Design, build, and maintain end-to-end data pipelines for computer vision workloads.
• Implement and manage automated workflow orchestration using NiFi and Prefect.
• Develop high-performance media processing services using Java, FFmpeg, and OpenCV.
• Containerize and deploy data services with Docker.
• Collaborate with CV engineers, MLOps, and platform teams to ensure data readiness.
• Optimize processing steps for speed, accuracy, and cost efficiency.
• Establish monitoring, logging, and testing strategies for pipeline stability.

Conhecimentos

Computer vision pipelines

ETL

NiFi

Prefect

Docker

FFmpeg

OpenCV

Media metadata

Distributed systems

Formação académica

Bachelor’s degree or equivalent

Ferramentas

Java

KLV metadata extraction

Cloud environments

Kubernetes

Descrição da oferta de emprego

Accenture Federal Services is seeking a highly skilled Data Engineer to design and maintain data pipelines for computer vision workloads, handling image, video, and metadata assets. You will implement automated workflows with NiFi and Prefect, and build high‑performance media processing services using Java, FFmpeg, and OpenCV.

The role involves containerizing services with Docker, collaborating with CV engineers, MLOps, and platform teams, and optimizing pipelines for speed, accuracy, and cost.