Artificial Intelligence Engineer

4 days ago

Kolkata, West Bengal, India Oindrila Ray Full time ₹ 15,00,000 - ₹ 25,00,000 per year

We are looking for a skilled AI Engineer / Data Scientist with hands-on experience in OCR pipelines and Large Language Model (LLM) fine-tuning. The ideal candidate will work on developing, fine-tuning, and optimizing Vision-Language Models (VLMs) to extract structured information from scanned or image-based documents. You will collaborate closely with data scientists and backend engineers to build scalable, accurate, and production-ready AI pipelines.

Key Responsibilities

  • Fine-tune and adapt multimodal LLMs (e.g., Qwen-VL, LLaVA, or similar) for domain-specific document understanding.
  • Design prompt templates and instruction sets to improve structured JSON output.
  • Perform incremental and cross-dataset fine-tuning for robust generalization.
  • Implement evaluation metrics and create validation datasets to track performance.
  • Optimize inference using quantization, LoRA adapters, and frameworks such as Ray Serve, vLLM, or Unsloth.
  • Collaborate with backend teams to integrate models into production systems.
  • Develop monitoring tools to log model confidence, token usage, and latency metrics.

Required Skills & Experience

  • Strong programming skills in Python, with experience in PyTorch and Hugging Face Transformers.
  • Expertise in OCR tools like PaddleOCR, Tesseract, or EasyOCR.
  • Hands-on experience in fine-tuning and serving LLMs / VLMs (e.g., Qwen, LLaVA, Mistral, Vicuna).
  • Solid understanding of LoRA / QLoRA / PEFT for efficient model training.
  • Experience with structured data extraction, prompt engineering, and JSON schema generation.
  • Familiarity with Unsloth, Ray Serve, or vLLM for scalable inference.
  • Proficiency with Docker, CUDA, and NVIDIA GPU environments.
  • Strong grasp of tokenization, attention mechanisms, and quantization (4-bit / 8-bit).

Nice to Have

  • Experience with LLM model serving and orchestration.
  • Exposure to CI/CD pipelines and deployment on AWS, Azure, or GCP.
  • Knowledge of PDF parsing tools (Camelot, PyMuPDF, etc.).
  • Prior work in document intelligence or AI-based invoice/data extraction systems.

What We Offer

  • Opportunity to work on cutting-edge Vision-Language AI models.
  • Hands-on involvement in production-grade OCR + LLM pipelines.
  • Competitive compensation and a flexible work culture.
  • Collaborative environment that fosters AI innovation in enterprise automation.

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