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Senior Data Architect for AI and Machine Learning
3 weeks ago
About the Role
">We are seeking a highly skilled data engineer to join our team. As a senior data architect, you will design and implement scalable, high-performance data pipelines for AI and Generative AI applications.
">Main Responsibilities
">- ">
- Collaborate with AI engineers, data scientists, and developers to integrate Large Language Models (LLMs) into scalable AI applications.">
- Design and implement efficient data storage, retrieval, and processing strategies for Generative AI workloads.">
- Manage and optimize vector databases, such as OpenSearch or Azure AI Search, for cloud-native AI applications.">
- Develop ETL/ELT pipelines for real-time and batch data processing using tools like dbt and Apache Airflow.">
- Implement data governance, security best practices, and compliance measures to ensure data reliability.">
- Set up monitoring, alerting, and logging for data pipelines to ensure seamless integration with AI model workflows.">
Requirements
">- ">
- Proficiency in Python, SQL, and vector database query languages.">
- Experience with relational, NoSQL, and vector databases (Snowflake preferred).">
- Hands-on experience with AWS (OpenSearch, S3, Lambda) or Azure (Azure AI Search, Blob Storage, Automation).">
- Ability to design and integrate RESTful APIs for data exchange.">
- Understanding of data security, encryption, and role-based access controls.">
- Familiarity with Git, CI/CD, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation).">
- Strong problem-solving, analytical, and communication skills.">
- English proficiency (C1)">
Benefits
">- ">
- Sport subscription">
- Training budget">
- Private healthcare">
- International projects">
About Us
">We value innovation, collaboration, and continuous learning. If you're passionate about building scalable data solutions for AI applications, we'd love to hear from you.