Data Engineer

About Us

AiLogic Neural Network Pvt Ltd is an AI-driven product company focused on building advanced language technology solutions, including machine translation, document intelligence, and large-scale NLP systems. We are looking for a highly motivated Data Engineer to join our growing AI team and contribute to the development of scalable data processing pipelines for NLP and LLM applications.

Roles & Responsibilities

• Design, develop, and maintain scalable data pipelines for processing large volumes of structured and unstructured data.
• Build document ingestion and processing workflows for PDFs, scanned documents, HTML pages, and other text sources.
• Implement OCR, PDF parsing, HTML parsing, and text extraction pipelines.
• Develop document chunking and preprocessing frameworks for NLP and LLM-based applications.
• Work with Hugging Face models and NLP libraries for text processing tasks.
• Create and optimize data transformation workflows using Python, Apache Spark, and Spark SQL.
• Develop and manage Vector Database pipelines for embedding storage and retrieval.
• Implement text normalization, sentence segmentation, deduplication, and data quality processes.
• Design and implement data masking, classification, and categorization solutions.
• Collaborate with AI/ML engineers to prepare datasets for model training and inference.
• Optimize large-scale data processing workflows for performance, scalability, and cost efficiency.
• Maintain CI/CD pipelines and follow software engineering best practices.
• Monitor, troubleshoot, and improve production data processing systems.

Mandatory Skills

• Strong experience with Python programming.
• Hands-on experience in NLP concepts such as:
• Tokenization
• Text Processing
• Hugging Face Transformers
• Experience in:
• PDF Parsing
• OCR
• HTML Parsing
• Text Extraction
• Document Chunking
• Experience with Apache Spark and Spark SQL.
• Working knowledge of Vector Databases.
• Good understanding of Git and CI/CD practices.
• Experience building data pipelines and ETL workflows.
• Strong debugging and problem-solving skills.

Preferred Skills

• Text Normalization
• Sentence Segmentation
• Exact Deduplication and Near Deduplication
• Data Masking
• Data Classification & Categorization
• Embedding Generation and Retrieval Pipelines
• Large-scale Document Processing Systems
• RAG (Retrieval-Augmented Generation) Pipelines

Performance Optimization Skills

• CPU Distribution and Parallel Processing
• Pre-batch Generation Techniques
• Chunking Optimization Strategies
• Stream Processing vs Batch Processing
• GPU and CPU Parallel Distribution
• CUDA Optimization
• PyTorch Performance Tuning
• Spark Performance Optimization

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.
• 2–3 years of experience in Data Engineering, NLP Engineering, or AI Data Processing.
• Experience working with large-scale datasets and distributed computing frameworks.