
Cloud and Data Architect
1 day ago
Job Summary
The Data/AI Engineer will be responsible for designing, building, and maintaining robust and scalable data pipelines and ETL processes. They will also implement data storage solutions, integrate and manage data from multiple sources, optimize database queries and storage structures, and deploy and manage AI/ML models on cloud platforms.
Responsibilities
- Design, build, and maintain robust and scalable data pipelines and ETL processes.
- Implement data storage solutions, including data lakes and warehouses, to ensure data quality and reliability.
- Integrate and manage data from multiple sources to enable analytics and machine learning applications.
- Optimize database queries, storage structures, and data retrieval processes for performance and scalability.
AI/ML Model Development Responsibilities
- Develop and deploy AI/ML models to address business challenges, including predictive modeling, natural language processing, and computer vision.
- Train, test, and fine-tune machine learning models using frameworks such as TensorFlow, PyTorch, or similar.
- Collaborate with data scientists to translate algorithms and prototypes into production-ready solutions.
Cloud and Infrastructure Responsibilities
- Deploy and manage AI/ML models and data pipelines on cloud platforms (e.g., AWS, Azure, Google Cloud).
- Ensure high availability, fault tolerance, and scalability of deployed systems.
- Leverage containerization tools like Docker and Kubernetes to streamline deployment and orchestration of AI/ML applications.
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
- Minimum of 3 years of experience in data engineering, AI/ML model development, or a similar role.
- Proven experience in designing and deploying data pipelines and AI models.
- Strong understanding of data governance, security, and compliance requirements.
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