Data Engineer - AI/ML

Propertyvalue Quantum Technologies Llc
San Jose, CA, United States
9 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$172,640.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence BigQuery Computer Programming Continuous Integration Python (Programming Language) Machine Learning SQL Databases Data Processing Google Cloud Cloud Platform System Pytorch Large Language Models
+6 more
Prompt Engineering Generative AI Pandas Scikit Learn Information Technology Machine Learning Operations

Requirements

Experience: 3+ years of professional experience building and deploying machine learning models in a production environment. Education: Bachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field. Programming: Advanced proficiency in Python and its core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas). Data & SQL: Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis. Generative AI: Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini). Cloud Platform: Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform (Google Cloud Platform). MLOps: Solid understanding of MLOps principles and experience with related tools (e.g., Vertex AI, CI/CD). Preferred Qualifications (Nice-to-Haves): Master s or PhD in a relevant field. Specific experience with Google Cloud Platform services like Vertex AI, BigQuery, Google Cloud Storage, and GKE. Experience building RAG systems from the ground up. Proven ability to lead technical projects and mentor other engineers.

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