
Data Architecture Specialist
3 days ago
As a key member of our organization, you will play a crucial role in designing and implementing robust data architectures that support AI and machine learning (ML) workloads.
The ideal candidate will have experience with Generative AI models, including fine-tuning and deployment. Proficiency in data engineering tools and frameworks such as Apache Spark, Hadoop, and Kafka is also required.
Additionally, you should have a deep understanding of database systems (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP), including their AI/ML services.
Strong collaboration and communication skills are necessary for working effectively with cross-functional teams to align data strategies with business goals.
This role requires a bachelor's degree in Computer Science, Data Engineering, or a related field, as well as ~5+ years of experience in data architecture, with a focus on AI/ML-enabled systems.
The ideal candidate will be up-to-date with the latest trends in Generative AI, data engineering, and cloud technologies.
A strong understanding of data governance, MLOps, and AI model lifecycle management is also essential for this position.
Experience integrating generative AI solutions into production-level applications is highly desirable.
Knowledge of vector databases and APIs for AI models is also beneficial.
- Design and implement robust data architectures for AI and ML workloads
- Develop and optimize data pipelines for training, validating, and deploying AI models efficiently and securely
- Integrate AI frameworks into data platforms, ensuring scalability, low latency, and high throughput
- Collaborate with data scientists, AI engineers, and stakeholders to align data strategies with business goals
- Lead initiatives to ensure data governance, security, and compliance standards are met in AI-driven environments
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