Architect (AI / ML)

Job Title : AI / ML Architect – Waste Management Solutions

Experience : 10+ years

Budget : 1 LPM

Duration : 6-12 months (Immediate start; extendable)

Location : Remote (Preference for Bangalore-based candidates, occasional office visits 4–5 times if required)

Background Verification : Mandatory (Only bench profiles considered)

Role Overview

We are looking for a highly skilled AI / ML Architect to design and implement intelligent, scalable solutions for real-world waste management use cases. The role involves building Proof of Concepts (PoCs) and production-ready platforms leveraging Computer Vision, OCR, Deep Learning, and Vision-Language Models (VLMs) to enable waste classification, dumpster overflow detection, and automated contract data extraction.

Key Responsibilities

• Architect and design AI / ML-based solutions for waste detection, contamination identification, and overflow classification using CNNs, VLMs, and cloud AI services.
• Develop OCR pipelines for processing contracts, invoices, and scanned documents using AWS Textract, Mistral OCR, or equivalent frameworks .
• Define PoC strategies with three solution tracks :
• Managed Services (AWS / Azure / Google Vision, Textract)
• Custom Deep Learning & VLM Models (CNN, YOLO, Mask R-CNN, LLaVA, GPT-4V, etc.)
• Domain-Specific / Cordial AI Models
• Build scalable AI pipelines using AWS (S3, Lambda, SageMaker, Step Functions) or equivalent Azure / GCP services .
• Establish and track evaluation metrics (precision, recall, F1 score, OCR accuracy) to define PoC success.
• Work closely with client operations teams to align AI / ML outcomes with business objectives such as reduced manual sorting, faster contract processing, and cost optimization .

Required Skills & Experience

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Skills Required

Cnn, bedrock , Deep Learning, Tensorflow, Pytorch, Gcp, Flask, FastAPI, Azure, Ocr, Python, Aws S3, Computer Vision, Aws