Senior AI Data Engineer

Responsibilities:

• Design and implement robust data pipelines to support AI and machine learning models
• Integrate data from various sources, ensuring data quality and consistency for AI applications
• Develop and maintain scalable data processing systems to handle large volumes of data
• Collaborate with data scientists to deploy and optimize AI models in production environments
• Create and manage scripts to automate data workflows and model training processes
• Work with cross-functional teams to understand data requirements and deliver AI solutions
• Maintain comprehensive documentation of data processes, pipelines, and AI model deployments

Requirements:

• Experience in data engineering, with a focus on AI and machine learning
• Proficiency in data engineering tools and technologies (e.g., SQL, Python, ETL tools)
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
• Knowledge of big data technologies (e.g., Hadoop, Spark) and AI frameworks (e.g., TensorFlow, PyTorch)
• Understanding of machine learning algorithms and model deployment

Offer:

• Workplace: 100% remote 
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