Senior AI Solutions Architect (Gen AI & UX)

ELLIOTT MOSS CONSULTING PTE. LTD.

Penarth

On-site

GBP 55,000 - 95,000

Full time

9 days ago
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Job summary

Elliott Moss Consulting Pte. Ltd. is seeking an AI Engineer to design, develop and deliver scalable enterprise AI solutions that blend AI/ML engineering with AI-powered UX design.

You will work with Data Scientists, ML Engineers, UX Designers, Product Managers, and Cloud Architects to create user-centric, production-ready AI systems. The role emphasizes hands-on development, model evaluation, and collaboration across data processing, cloud platforms and governance for enterprise-scale

Qualifications

  • 3+ years of professional AI/ML engineering experience.
  • Hands-on experience with Google Cloud Vertex AI and BigQuery.
  • Experience with data extraction, transformation and processing for AI/ML.
  • Proficient in Python and ML model evaluation.
  • Experience with Generative AI, LLMs and embeddings.

Responsibilities

  • Design, develop and deliver scalable enterprise AI/ML solutions.
  • Develop AI/ML algorithms based on business requirements.
  • Build data processing pipelines for large data volumes.
  • Collaborate with Data Scientists, UX Designers and stakeholders.
  • Evaluate model performance and monitor deployments.
  • Apply MLOps practices for model lifecycle.
  • Integrate Google Cloud AI services and Generative AI capabilities.

Skills

AI/ML Engineering
Generative AI
Cloud computing
Data processing
Model deployment
MLOps
Statistics
UX design

Education

Bachelor's in CS/AI/IT

Tools

BigQuery
Vertex AI
Python
Figma
GCP

Job description

Elliott Moss Consulting Pte. Ltd. is seeking an AI Engineer to design, develop and deliver scalable enterprise AI solutions that blend AI/ML engineering with AI-powered UX design.

You will work with Data Scientists, ML Engineers, UX Designers, Product Managers, and Cloud Architects to create user-centric, production-ready AI systems. The role emphasizes hands-on development, model evaluation, and collaboration across data processing, cloud platforms and governance for enterprise-scale

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