AI/ML Engineer
Posted on :
02-08-2025
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1 Vacancy
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Job Description
We are looking for an AI/ML-focused Data Engineer who brings deep expertise in building intelligent data pipelines for unstructured content and is experienced in integrating with modern machine learning ecosystems. The ideal candidate will have hands-on experience in PySpark and Python with a strong focus on document classification cleansing quality metrics and the ability to work with LLMs vector databases and Retrieval-Augmented Generation (RAG) frameworks. Candidates will play a critical role in bridging data engineering and machine learning enabling the development of AI-first applications across the Responsibilities:Build robust scalable data processing pipelines for unstructured documents (PDFs emails forms etc.) using PySpark and document cleansing classification and enrichment techniques to prepare high-quality data for AI/ML applications. Develop and integrate data workflows that feed into LLM-based pipelines and support vector-based retrieval using RAG vector embeddings document chunking and metadata tagging for semantic search and question-answering closely with AI architect AI/Data engineers and platform teams to design end-to-end AI data readiness pipeline quality and model integration strategies clearly to both technical and non-technical Agile methodologies and CI/CD best practices to deliver continuously evolving AI capabilities Required Skills:Overall 5 years of commercial experience with 2 years in relevant role Strong proficiency in PySpark and distributed data experience in core Python including ML/AI libraries (e.g. Transformers LangChain Hugging Face FAISS etc.).Proven expertise in processing unstructured data and document intelligence (OCR NLP classification tagging).Familiarity with vector databases (e.g. Redis) and embedding models for RAG of LLM lifecycle including fine-tuning inference and prompt working in agile environments collaborating with cross-functional communication skills with the ability to interface with both technical and business stakeholders.
Employment Type
Full-Time
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