AI Cloud Data Engineer
Core
Design, develop, and deploy AI-powered applications, data platforms, and machine learning solutions to transform data into actionable intelligence.
Role type
AI Cloud Data Engineer
Builds
Scalable data and AI systems, RAG systems, vector databases, AI agents, and intelligent search solutions
Domain
Artificial Intelligence / Machine Learning / Cloud Data Engineering
Deliverable
production ML models
Required skills
Python, Machine Learning, Deep Learning, Generative AI, LLMs, PyTorch, TensorFlow, LangChain, Semantic Kernel, Azure, AWS, Google Cloud, ETL/ELT, Data Warehousing, Distributed Data Processing, MLOps, Kubernetes, CI/CD
Preferred skills
None stated
Technologies
PyTorch, TensorFlow, LangChain, Semantic Kernel, Azure, AWS, Google Cloud, Kubernetes
Responsibilities
Design and optimize AI-powered applications and data pipelines; Build and deploy ML, deep learning, and Generative AI solutions; Develop algorithms and predictive models; Create and maintain RAG systems and vector databases; Conduct large-scale experimentation and model evaluation; Process and integrate data from diverse sources; Develop dashboards and data-driven applications; Collaborate with software engineers and data scientists; Build and maintain MLOps training and inference pipelines; Establish best practices for data engineering and model governance; Support troubleshooting and optimization of AI platforms; Evaluate emerging AI technologies; Contribute to research and prototyping.
Seniority
Mid-level, hands-on IC
