Computer Vision / Image Processing Specialist (Phase 2)

Role Overview: The Computer Vision Specialist designs and implements the image-based parts identification pipeline for Phase 2. This role is engaged on an as-needed basis during Phase 2 and provides subject-matter expertise on image ingestion, model selection, training / fine-tuning, and match-ranking.

Key Responsibilities:

• Assess the quality and coverage of the spare-part image dataset in SharePoint; define labeling and metadata remediation needs.
• Design the image ingestion pipeline: intake, preprocessing, feature extraction, and indexing.
• Select and implement the appropriate vision approach (Azure AI Vision, custom Florence / CLIP-based embeddings, or fine-tuned classifier).
• Build the top-5 match ranking with user confirmation UX, and integrate downstream SAP draft-order creation.
• Instrument the pipeline with accuracy, precision, and recall metrics; drive iterative tuning cycles.
• Document the pipeline for handoff to Client’s Data Science team.

Required Qualifications:

• 6+ years in computer vision / image ML, including production deployments.
• Hands-on experience with Azure AI Vision, Custom Vision, or equivalent cloud CV services.
• Proficiency in Python, PyTorch or TensorFlow, and image-embedding-based retrieval.
• Experience integrating vision pipelines with business applications (ERP, inventory, or catalog systems).

Preferred / Nice-to-Have:

• Experience with multimodal LLMs (GPT-4o, Gemini) for visual reasoning tasks.

Background in industrial / spare-parts identification or catalog matching domains.

Role: Computer Vision / Image Processing Specialist (Phase 2)
Work Location: Remote (contract roles for Phase 1 with a duration of 2–3 months)
Number of positions: 1
Years of experience: See required Qualifications
Pay Rate: Up to $70