AI/ML Engineer

2 weeks ago

Bangalore Urban, India AS Technology Corporation Full time

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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