Ai data engineer

1 week ago

Erode, India Peak Trust Global Real Estate Full time

Location: Remote Type: Full-time Experience : 3+ Years Salary: up to 60 K/Month  Role Summary We are looking for a hands-on AI Data Engineer who can independently manage end-to-end data workflows, including data collection, document processing, dataset preparation, retrieval pipelines, model fine-tuning, and data visualization. This role requires strong technical skills across Python, automation, ML tooling, and analytical reporting. Key Responsibilities (Technical) 1. Data Acquisition & Automation Build automated data collection workflows using tools such as Firecrawl , Playwright , Scrapy , or similar frameworks Extract multi-format documents (PDFs, HTML, text, images) Handle large-scale crawling, rate limits, error handling, and scheduling 2. Document Processing & Transformation Clean and process unstructured documents Apply OCR (Tesseract, Paddle OCR) for scanned files Convert and structure data using Py PDF2 , pymupdf , Beautiful Soup , etc. Prepare data in formats such as JSON, JSONL, or CSV 3. Dataset Preparation Segment and structure text for ML training Create Q&A datasets, summaries, instruction-response pairs, and labeled text Build high-quality datasets compatible with fine-tuning frameworks 4. Retrieval & Indexing Pipelines Implement document chunking strategies Generate embeddings and manage vector databases ( Qdrant , Pinecone , Weaviate ) Build retrieval workflows using Lang Chain or Llama Index Optimize retrieval accuracy and latency 5. Model Training & Fine-Tuning Run fine-tuning jobs using Hugging Face Transformers , Lo RA/QLo RA , or similar methods Monitor training performance and refine datasets Package and deploy fine-tuned models 6. Data Visualization & Analytics Create analytical charts, trends, and insights using: Pandas Matplotlib Seaborn Plotly Build simple internal dashboards or visual summaries for reports Transform raw datasets into meaningful visual insights 7. Automation & Infrastructure Write modular, maintainable Python scripts Containerize workflows with Docker Maintain version control with Git Ensure reproducibility and pipeline stability Required Technical Skills Strong proficiency in Python Experience with Firecrawl , Playwright, Scrapy, or similar tools Strong background in document parsing , text processing, and OCR Familiarity with Lang Chain or Llama Index Experience with vector databases Hands-on experience with Hugging Face , Transformer models, and fine-tuning Ability to write clean, efficient data pipelines Experience with Matplotlib , Seaborn , Plotly , or other visualization tools Comfort using Docker and Git Nice to Have Experience serving models or building small APIs (Fast API) Exposure to GPU training environments Background in large-scale unstructured data work Ability to create lightweight dashboards (Plotly Dash, Streamlit) Ideal Candidate Comfortable owning full pipelines independently Detail-oriented and analytical Strong problem-solving ability Can work with minimal supervision Enjoys building structured systems from scratch

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