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Salary
≈ $23k – $61k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff · 6+ years exp

First seen by Alion on Oct 20, 2026.

Overview
Company
Impact
Profile match
Blue Yonder provides software solutions that address the supply chain management, business process, analytics, application, and e-commerce requirements of the retail industry.

We are building advanced machine learning solutions to automate image recognition using image processing algorithms, vision-language models, and modern microservices architecture. We are seeking a technically strong engineer who can work across backend systems, AI integration layers, and data pipelines to enable an end-to-end user workflow. This role focuses on building scalable systems that integrate AI and VLM capabilities with microservices architecture to enable automated planogram generation from shelf images. The ideal candidate will combine strong backend engineering skills with AI integration experience and the ability to translate complex workflows into production-ready systems.


Responsibilities:

  • Build and enhance microservices for computer vision models, image recognition, image processing pipelines, and AI model integration.
  • Integrate computer vision and VLM services into backend workflows to enable image capture, image decomposition, and image recognition.
  • Implement new features using OCR, embedding models, and image training.
  • Develop and integrate services for image ingestion and AI/VLM model inference.
  • Identify, analyze, and resolve performance bottlenecks and security vulnerabilities.
  • Collaborate with global teams across time zones.
  • Work independently with strong analytical and problem-solving skills.


Requirements:

  • Expertise in image recognition models.
  • Expertise in image processing pipelines.
  • Experience with AI/ML model integration via APIs.
  • Strong experience with Python.
  • Experience with API frameworks such as FastAPI or Flask.
  • Experience with PyTorch and other image processing packages.
  • Strong SQL skills.
  • Experience in data modeling.
  • Ability to handle large retail datasets.
  • Experience using LLMs for business rule translation and scenario simulation.
  • Prompt engineering experience for structured outputs.
  • Strong understanding of microservices architecture and API-driven workflows.
  • Experience integrating with upstream VLM systems and downstream UI or application systems.
  • Ability to work with AI teams and productionize ML outputs.
  • Good To Have: Retail domain knowledge.

Skills

APIs, FastAPI, Flask, OCR, PyTorch, SQL, YOLO, computer vision, image processing, microservices, python

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