
Data Science Platform Architect
1 day ago
As a data and AI architect, you will be responsible for designing and building scalable, production-grade data systems and AI platforms. We are seeking an experienced professional with expertise in distributed systems, ML platform engineering, and LLM architecture.
Key Responsibilities- Built on-premises or hybrid data systems using Spark, Kafka, Trino, Iceberg, Airflow.
- Designed and implemented ML pipelines, inference runtimes, and data retrieval frameworks.
- Proficient in at least one programming language (Python, Go, Java) and AI/ML frameworks (LangChain, Haystack, Hugging Face Transformers).
- Experience designing RESTful APIs for seamless integration across distributed systems and AI-powered applications.
- LLM orchestration frameworks, retrieval-augmented generation (RAG), and prompt engineering strategies.
- Familiarity with open-source projects like LangGraph, AutoGPT, CrewAI, and ReAct-based agent architectures.
- The opportunity to work with cutting-edge technologies and contribute to the development of innovative AI solutions.
- A collaborative and dynamic work environment that fosters growth and learning.
Note:
Please do not contact us regarding unsolicited services or proposals.
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