Senior AI Architect: Cloud, MLOps & Video Analytics

ELLIOTT MOSS CONSULTING PTE. LTD.

High Street, Penarth

On-site

GBP 90,000 - 135,000

Full time

14 days+

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Job summary

ELLIOTT MOSS CONSULTING PTE. LTD. seeks an experienced AI Solution Architect / Senior AI Engineer with 4+ years hands-on design, development and deployment of AI solutions in the cloud and edge environments.

You will lead architecture and delivery, develop models in Python using Azure AI Services, build video analytics pipelines, ensure scalable, secure deployments, mentor junior engineers, and collaborate with stakeholders to align solutions with enterprise standards.

Qualifications

  • 4+ years hands-on AI/ML solution development.
  • Strong Python programming experience.
  • Hands-on with Microsoft Azure AI Services.
  • Experience with TensorFlow and/or PyTorch.
  • Experience in video analytics / computer vision.
  • Knowledge of MLOps, DevOps practices.
  • Experience working in Agile environments.
  • Strong analytical and leadership skills.

Responsibilities

  • Design and deliver AI solution architectures.
  • Develop, optimize, and deploy AI models.
  • Design video analytics and processing solutions.
  • Ensure scalable, secure, and reliable AI apps.
  • Apply DevOps practices for CI/CD, monitoring.
  • Collaborate with stakeholders to identify AI opportunities.
  • Mentor junior AI engineers and data scientists.
  • Stay updated on emerging AI technologies.

Skills

Python
Azure AI
TensorFlow
PyTorch
Video analytics
MLOps
Edge AI
DevOps
Leadership

Education

Azure AI Engineer Associate (CAIP)

Tools

Azure AI Services
CI/CD tools
Video processing tools

Job description

ELLIOTT MOSS CONSULTING PTE. LTD. seeks an experienced AI Solution Architect / Senior AI Engineer with 4+ years hands-on design, development and deployment of AI solutions in the cloud and edge environments.

You will lead architecture and delivery, develop models in Python using Azure AI Services, build video analytics pipelines, ensure scalable, secure deployments, mentor junior engineers, and collaborate with stakeholders to align solutions with enterprise standards.

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