Senior AI/ML Engineer

Xentovia Tech; United States; Remote; USD 16,000 - 27,000; Full time

Benefits offered by this job

Remote work from India

Job summary

Xentovia Tech is hiring for a remote role based in India to design and deliver production machine-learning pipelines for document understanding and visual inspection. You will build vision-language-model systems and AI agents to process large volumes of documents for insurance, healthcare, and mortgages.

The role emphasizes FastAPI-based services, containerized deployments, and cloud infrastructure with a focus on scalable document processing systems.

Qualifications

• Three or more years building AI/ML systems in production environments.
• Experience with vision-language models (e.g., Gemini, GPT-4V) or comparable systems.

Responsibilities

• Build and operate vision-language pipelines for document intelligence and visual inspection.
• Develop AI agents to process documents at scale.
• Create image-processing and document-parsing workflows.
• Implement services and background processing with FastAPI and Celery.
• Evaluate system performance and apply prompt engineering and retrieval techniques.
• Deploy and run production workloads using containers and cloud infrastructure.

Skills

Three+ years in production ML

Vision-language models experience

Tools

FastAPI

Celery

Docker

AWS

OpenCV

Job description

Role overview

Design and deliver production machine-learning pipelines for document understanding and visual inspection. You will build vision-language-model systems and AI agents that process high volumes of documents for enterprise use cases in areas such as insurance, healthcare, and mortgages. This is a full-time remote role based in India.

Responsibilities

• Build and operate vision-language pipelines for document intelligence and visual inspection.
• Develop AI agents to process documents at scale.
• Create image-processing and document-parsing workflows.
• Implement services and background processing with FastAPI and Celery.
• Evaluate system performance and apply prompt engineering and retrieval techniques.
• Deploy and run production workloads using containers and cloud infrastructure.

Requirements

• At least three years building AI or machine-learning systems in production.
• Strong experience with vision-language models such as Gemini, GPT-4V, or comparable systems.
• Proficiency in OpenCV, image processing, and document parsing.
• Hands-on experience with FastAPI, Celery, Docker, and AWS.
• Understanding of evaluation frameworks, prompt engineering, and retrieval systems.

Benefits and work setup

• Full-time, remote work from India.