

Intellectt Inc
Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with 5+ years of Machine Learning experience, focusing on Generative AI and GCP. Remote contract, pay rate unspecified. Key skills include Python, SQL, MLOps, and experience with LLMs and RAG systems.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 12, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#Forecasting #Deployment #Pandas #Regression #ML (Machine Learning) #BigQuery #Leadership #Model Deployment #Programming #Data Analysis #Classification #Scala #SQL (Structured Query Language) #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #PyTorch #Cloud #Python
Role description
Role: Python Technical Lead / Machine Learning Engineer (Generative AI & GCP)
Location: Remote
NOTE: NO C2C PLEASE
Key Responsibilities
• Develop and deploy Machine Learning and Generative AI solutions using Python.
• Build and optimize RAG (Retrieval-Augmented Generation) systems using LLMs such as Gemini.
• Design, train, and deploy ML models for classification, regression, forecasting, and predictive analytics.
• Build end-to-end MLOps pipelines using Vertex AI, BigQuery, and other GCP services.
• Perform data analysis, feature engineering, and model performance optimization.
• Collaborate with cross-functional teams to deliver scalable AI/ML solutions.
• Lead technical initiatives, mentor engineers, and promote best practices.
Required Skills
• 5+ years of Machine Learning experience in production environments.
• Strong Python programming skills with PyTorch, Scikit-learn, and Pandas.
• Advanced SQL and data analysis expertise.
• Hands-on experience with Generative AI, LLMs, Prompt Engineering, and RAG.
• Strong experience with Google Cloud Platform (GCP), including Vertex AI and BigQuery.
• Knowledge of MLOps, CI/CD, and model deployment.
Preferred Qualifications
• Master's or PhD in a related field.
• Experience building RAG solutions from scratch.
• Technical leadership and mentoring experience.
Role: Python Technical Lead / Machine Learning Engineer (Generative AI & GCP)
Location: Remote
NOTE: NO C2C PLEASE
Key Responsibilities
• Develop and deploy Machine Learning and Generative AI solutions using Python.
• Build and optimize RAG (Retrieval-Augmented Generation) systems using LLMs such as Gemini.
• Design, train, and deploy ML models for classification, regression, forecasting, and predictive analytics.
• Build end-to-end MLOps pipelines using Vertex AI, BigQuery, and other GCP services.
• Perform data analysis, feature engineering, and model performance optimization.
• Collaborate with cross-functional teams to deliver scalable AI/ML solutions.
• Lead technical initiatives, mentor engineers, and promote best practices.
Required Skills
• 5+ years of Machine Learning experience in production environments.
• Strong Python programming skills with PyTorch, Scikit-learn, and Pandas.
• Advanced SQL and data analysis expertise.
• Hands-on experience with Generative AI, LLMs, Prompt Engineering, and RAG.
• Strong experience with Google Cloud Platform (GCP), including Vertex AI and BigQuery.
• Knowledge of MLOps, CI/CD, and model deployment.
Preferred Qualifications
• Master's or PhD in a related field.
• Experience building RAG solutions from scratch.
• Technical leadership and mentoring experience.





