Machine Learning Engineer — Generative AI and Cloud

Job overview

The Machine Learning Engineer — Generative AI and Cloud role is onsite in San Jose, CA. Compensation is not specified. The role applies generative AI and machine learning to business challenges using Python, Google Cloud Platform, and large language model technology. The engineer takes models from concept to production, building robust and scalable systems that support business needs. The role contributes through generative AI development, model deployment, MLOps automation, data analysis, and collaboration with data scientists, software engineers, and business stakeholders.

What you'll do

• Design, develop, and fine-tune generative AI solutions, including Gemini-based applications
• architect and implement retrieval-augmented generation systems
• research and apply emerging techniques such as agentic frameworks
• design and deploy machine learning models on Google Cloud Platform
• build and maintain MLOps pipelines for preprocessing, feature engineering, training, validation, and deployment
• analyze data and guide feature engineering
• collaborate on problem statements and technical requirements
• promote software engineering and MLOps best practices.

What we're looking for

Skills & competencies

machine learning engineer

san jose ca

techdigital corporation

generative ai

google cloud platform

python

gemini

rag

mlops

vertex ai

bigquery

llm

Work arrangement

• Weekend coverage required

Why this role

Requires three years of production machine learning experience, a bachelor’s degree in a related quantitative field, advanced Python and SQL, hands-on prompt engineering or LLM fine-tuning, and MLOps experience. Vertex AI, BigQuery, and GCP are highlighted.

About the employer

TechDigital Corporation is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.