Remote AI Data Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI Data Engineer - REMOTE. In this role, you will be at the forefront of designing and managing large-scale data pipelines for generative AI applications. Your work will directly impact the efficiency and effectiveness of ML models by orchestrating complex data processes that seamlessly integrate ML inference with traditional data handling. This unique position not only demands a strong technical background but also the ability to innovate within fast-paced environments. Join us in pushing the boundaries of AI technology through advanced data engineering practices. Together, we can create solutions that enhance image generation capabilities on a global scale.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI Data Engineer - REMOTE. In this role, you will be at the forefront of designing and managing large-scale data pipelines for generative AI applications. Your work will directly impact the efficiency and effectiveness of ML models by orchestrating complex data processes that seamlessly integrate ML inference with traditional data handling. This unique position not only demands a strong technical background but also the ability to innovate within fast-paced environments. Join us in pushing the boundaries of AI technology through advanced data engineering practices. Together, we can create solutions that enhance image generation capabilities on a global scale.

Accountabilities

• Design and maintain AI-augmented, large-scale data pipelines integrating traditional transformations with ML models.
• Own the systems for remote ML model inference orchestration within pipelines.
• Build and maintain scalable pipelines for generating, storing, and serving vector embeddings.
• Source, filter, and curate training datasets while ensuring governance and compliance.
• Design and operate pipelines using LLMs and vision models for automated annotation.
• Contribute to shared tooling and frameworks to facilitate AI-augmented data pipelines.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Machine Learning, or similar.
• 5+ years of experience in data engineering, ML engineering, or a hybrid role.
• Experience building and operating production data pipelines that invoke ML models at scale.
• Strong understanding of data governance and quality processes.
• Familiarity with managing asynchronous data tasks and batch processing.

Benefits

• Flexible work schedule with potential for remote work options.
• Opportunities for professional development and continuous learning.
• Collaborative work culture with a focus on innovation.
• Access to cutting-edge technologies and tools.
• Comprehensive medical, dental, and vision coverage for eligible employees.

Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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