Data Analysis, SQL / ML Engineer (Generative AI & Cloud)

Remote • Posted 9 hours ago • Updated 6 hours ago

Contract Independent

Contract W2

No Travel Required

Remote

Depends on Experience

Fitment

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Skills

GCP services
Artificial Intelligence
Data Analysis
Google Cloud Platform
Machine Learning (ML)
Python
SQL
Vertex
Generative Artificial Intelligence (AI)

Summary

Data Analysis, SQL / Machine Learning Engineer (Generative AI & Cloud)

REMOTE

Qualifications
Experience: 5+ 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).

Qualifications:
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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10118140
Position Id: 8928506
Posted 9 hours ago

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