TechBiz Global is seeking a highly skilled Senior AI Data Engineer to join a dynamic team and contribute to innovative AI-driven projects. This role offers the opportunity to work on cutting-edge data infrastructure within a fully remote environment.
Key responsibilities
- Design, build, and scale robust ETL/ELT pipelines optimized for AI workloads, including RAG, fine-tuning, and batch inference.
- Transform unstructured data sources such as PDFs, logs, and transcripts into structured and vectorized formats suitable for LLM consumption.
- Develop and maintain real-time feature pipelines that support low-latency AI and machine learning applications.
- Collaborate with Data Scientists, ML Engineers, and software teams to deliver scalable AI data solutions.
- Optimize data storage and retrieval strategies for Vector Databases to support high-performance AI search workloads.
Requirements
- 10+ years of experience in Data Engineering or Backend Engineering with a strong focus on data platforms.
- 2+ years of hands-on experience supporting AI/ML data pipelines and data preparation for generative AI applications.
- Expert-level proficiency in Python and SQL, with strong experience in real-time streaming solutions like Kafka or Spark.
- Hands-on experience with modern orchestration tools such as Airflow or dbt and cloud-based data services on AWS, Azure, or GCP.
- Proven experience handling sensitive data within regulated industries and a strong understanding of data governance and security.
What we offer
- The opportunity to work on high-impact AI projects in a fully remote, flexible environment.
- Collaboration with cross-functional teams of experts in a professional and innovative setting.
- Continuous growth opportunities within a forward-thinking organization.