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AI / ML Engineer [11 / 10 / 2025]

AI / ML Engineer [11 / 10 / 2025]

AS Technology CorporationIndia
4 days ago
Job description

Role Overview :

  • We are seeking an experienced AI / ML Architect to lead the design and implementation of intelligent solutions for client use cases. The role involves building PoCs and scalable platforms leveraging Computer Vision, OCR, Deep Learning, and Vision-Language Models (VLMs) to automate classification, dumpster overflow detection, and contract data extraction.
  • Key Responsibilities :
  • Architect and design AI / ML solutions for detection, contamination identification, and overflow classification using cloud-managed services, CNN models, and VLMs.
  • Develop OCR and data extraction pipelines for contracts, invoices, and scanned documents using AWS Textract, Mistral OCR, or equivalent frameworks.
  • Define PoC strategies with three solution approaches :
  • Managed Services (AWS / Azure / Google Vision, Textract)
  • Custom Deep Learning & VLM Models (CNN, YOLO, Mask R-CNN, LLaVA, GPT-4V, etc.)
  • Cordial AI or Domain-Specific AI models
  • Build scalable pipelines using AWS (S3, Lambda, SageMaker, Step Functions) or equivalent Azure / GCP services.
  • Drive evaluation metrics (precision, recall, F1 score, OCR accuracy) and define success criteria for PoCs.
  • Work closely with client operations teams to align AI solutions with business outcomes (reduced manual sorting, faster contract processing, cost optimization)

Required Skills & Experience :

  • 5+ years in AI / ML, with expertise in Computer Vision, OCR, and Deep Learning.
  • Strong knowledge of CNN architectures (ResNet, EfficientNet, YOLO, Mask R-CNN) and Vision-Language Models (VLMs).
  • Hands-on experience with OCR frameworks (AWS Textract, Azure Form Recognizer, Google Document AI, Mistral OCR).
  • Proficiency in Python, PyTorch / TensorFlow, and FastAPI / Flask for AI service development.
  • Cloud experience in AWS / Azure / GCP AI / ML services.
  • Familiarity with Vector Databases (Pinecone, FAISS, Weaviate) and LLM integration (Bedrock, OpenAI, Hugging Face).
  • Strong understanding of AI evaluation metrics for classification, detection, and OCR use cases.
  • Excellent communication and stakeholder management skills.
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