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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
We are seeking an exceptional AI Data Engineer to drive our advanced artificial intelligence data infrastructure and model development initiatives.
The ideal candidate will be a strategic technologist responsible for architecting, implementing, and managing sophisticated data ecosystems that power cutting-edge AI and machine learning models.
As a critical member of our research and engineering team, you will play a pivotal role in transforming raw data into high-quality, performance-optimized datasets that fuel breakthrough AI innovations across large language models (LLMs), small language models (SLMs), and computer vision applications.
Core Responsibilities
Design, develop, and maintain robust end-to-end data pipelines specifically tailored for AI model training and evaluation
Architect scalable ETL (Extract, Transform, Load) workflows that ensure data quality, integrity, and governance
Collaborate closely with data scientists to curate, prepare, and validate training datasets for advanced AI model development
Implement comprehensive data collection strategies, including synthetic data generation and augmentation techniques
Develop and maintain data observability and monitoring frameworks to ensure model performance and data reliability
Support the deployment and serving of AI models across various application domains
Optimize data processing infrastructure for performance, scalability, and cost-effectiveness.
The ideal candidate will be a strategic technologist responsible for architecting, implementing, and managing sophisticated data ecosystems that power cutting-edge AI and machine learning models.
As a critical member of our research and engineering team, you will play a pivotal role in transforming raw data into high-quality, performance-optimized datasets that fuel breakthrough AI innovations across large language models (LLMs), small language models (SLMs), and computer vision applications.
Core Responsibilities
Design, develop, and maintain robust end-to-end data pipelines specifically tailored for AI model training and evaluation
Architect scalable ETL (Extract, Transform, Load) workflows that ensure data quality, integrity, and governance
Collaborate closely with data scientists to curate, prepare, and validate training datasets for advanced AI model development
Implement comprehensive data collection strategies, including synthetic data generation and augmentation techniques
Develop and maintain data observability and monitoring frameworks to ensure model performance and data reliability
Support the deployment and serving of AI models across various application domains
Optimize data processing infrastructure for performance, scalability, and cost-effectiveness.
Requirements:
Bachelor's degree in Computer Science
Minimum 3+ years of specialized experience in developing AI and machine learning data pipelines
Demonstrated expertise in:
o Advanced Python programming with advanced ML/AI library implementations
o MLOps and DataOps methodologies
o Synthetic data generation and augmentation techniques
o Data monitoring, observability, and governance frameworks
Experience with large language model (LLM) and multimodal AI model training pipelines
Comprehensive understanding of machine learning model training requirements
Proven track record of designing scalable data infrastructure
Demonstrates exceptional problem-solving skills, innovative thinking, and the ability to quickly pivot between complex technical challenges.
A true team player, that communicate effectively, share knowledge proactively, and contribute to a culture of continuous learning and technological innovation.
Skills
Strong experience with distributed computing and big data technologies
Introduction to open-source machine learning or data engineering projects
Knowledge of cutting-edge AI research and emerging data processing technologies
Strong communication skills with ability to translate technical concepts to cross-functional teams
Experience with RAG, embedding & effective chunking strategies
Experience with multi-lingual datasets and LMs and understanding of their inherit challenges
Bachelor's degree in Computer Science
Minimum 3+ years of specialized experience in developing AI and machine learning data pipelines
Demonstrated expertise in:
o Advanced Python programming with advanced ML/AI library implementations
o MLOps and DataOps methodologies
o Synthetic data generation and augmentation techniques
o Data monitoring, observability, and governance frameworks
Experience with large language model (LLM) and multimodal AI model training pipelines
Comprehensive understanding of machine learning model training requirements
Proven track record of designing scalable data infrastructure
Demonstrates exceptional problem-solving skills, innovative thinking, and the ability to quickly pivot between complex technical challenges.
A true team player, that communicate effectively, share knowledge proactively, and contribute to a culture of continuous learning and technological innovation.
Skills
Strong experience with distributed computing and big data technologies
Introduction to open-source machine learning or data engineering projects
Knowledge of cutting-edge AI research and emerging data processing technologies
Strong communication skills with ability to translate technical concepts to cross-functional teams
Experience with RAG, embedding & effective chunking strategies
Experience with multi-lingual datasets and LMs and understanding of their inherit challenges
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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